264results about How to "Minimize cost function" patented technology

A method and apparatus for estimating poses of a subject by grouping data points generated by a depth image into groups representing labeled parts of the subject, and then fitting a model representing the subject to the data points using the grouping of the data points. The grouping of the data points is performed by grouping the data points to segments based on proximity of the data points, and then using constraint conditions to assign the segments to the labeled parts. The model is fitted to the data points by using the grouping of the data points to the labeled parts.

A system and method for instantiation of a virtual machine (VM) in a datacenter includes providing a network appliance in a location for listening to management information traffic. Indices are created for data center images in the network appliance. VM instantiation requests are intercepted in the network appliance. Locations from which blocks for the VM should be fetched based upon network cost are determined. VM image blocks are populated from the locations.

An embodiment of the invention provides a method and apparatus for registering two medical images with one another. A first medical image including a representation of a biological organ of a subject or for a population is obtained and the surface of the organ is identified in the first medical image. The identified surface is then used to construct a 3D geometric surface model of the organ. The geometric model is used to derive a motion model that incorporates information on the physical material properties of the organ and external forces that cause the organ to move and deform. A second medical image including a representation of the organ of the subject (or another subject, in the case that the first medical image is an atlas image) is obtained and an alignment is determined between a first surface normal vector field for the organ surface, derived from the geometric model, and a second surface normal vector field for the organ surface, derived by filtering the second medical image. The alignment accommodates deformation of the geometric model in accordance with the motion predicted by the motion model. The first and second medical images can then be registered with one another based on said determined model-to-image vector alignment (MIVA).

The present invention includes a method and system for determining the profile of a structure in an integrated circuit from a measured signal, the signal measured off the structure with a metrology device, selecting a best match of the measured signal in a profile data space, the profile data space having data points with a specified extent of non-linearity, and performing a refinement procedure to determine refined profile parameters. One embodiment includes a refinement procedure comprising finding a polyhedron in a function domain of cost functions of the profile library signals and profile parameters and minimizing the total cost function using the weighted average method. Other embodiments include profile parameter refinement procedures using sensitivity analysis, a clustering approach, regression-based methods, localized fine-resolution refinement library method, iterative library refinement method, and other cost optimization or refinement algorithms, procedures, and methods. Refinement of profile parameters may be invoked automatically or invoked based on predetermined criteria such as exceeding an error metric between the measured signal versus the best match profile library.

A method and apparatus for supporting scalability for motion vectors in scalable video coding are provided. The motion estimation apparatus includes a motion estimation module searching for a variable block size and a motion vector that minimize a cost function for each layer according to predetermined pixel accuracy, a sampling module upsampling an original frame when the pixel accuracy is less than a pixel size, and before searching for a motion vector in a layer having a lower resolution than the original frame downsampling the original frame into the low resolution, a motion residual module calculating a residual between motion vectors found in the respective layers, and a rearrangement module rearranging the residuals between the found motion vectors and the found variable block size information using significance obtained from a searched lower layer. Accordingly, true motion scalability can be achieved to improve adaptability to changing network circumstances.

Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat is operable to control an HVAC system. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during the DR event period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.

A method and system for coordinated tracking of objects is disclosed. A plurality of images is received from a plurality of nodes, each node comprising at least one image capturing device. At least one target in the plurality of images is identified to produce at least one local track corresponding to each of the plurality of nodes having the at least one target in its field of view. The at least one local track corresponding to each of the plurality of nodes is fused according to a multi-hypothesis tracking method to produce at least one fused track corresponding to the at least one target. At least one of the plurality of nodes is assigned to track the at least one target based on minimizing at least one cost function comprising a cost matrix using the k-best algorithm for tracking at least one target for each of the plurality of nodes. The at least one fused track is sent to the at least one of the plurality of nodes assigned to track the at least one target based on the at least one fused track.

Systems and methods are described for updating an influence model used to manage physical conditions of an environmentally controlled space. A method comprises operating an environmental maintenance system in a first production mode with the influence model until an event causes the system to enter a second production mode. In the second production mode a first actuator's operation level is varied and operation levels of other actuators are optimized. The influence model is adjusted based on the operation levels.

A method for compressing data in a video sequence, a system for carrying out the method, a computer program, and a computer program product are provided. In the described method, results of a motion estimation for a previous temporal decomposition stage are also used for motion compensation.

The invention relates to a methods and systems for determining an insulin dosing recommendation. The invention employs Linear Quadratic methodology to determine the insulin dosing recommendation based on a patient's present physiological state, which is estimated by an adaptive filter methodology employing a dynamic model, which utilizes real-time measurements of blood glucose concentration.

A method for efficient inversion of measured geophysical data from a subsurface region to prospect for hydrocarbons. Gathers of measured data (40) are encoded (60) using a set of non-equivalent encoding functions (30). Then all data records in each encoded gather that correspond to a single receiver are summed (60), repeating for each receiver to generate a simultaneous encoded gather (80). The method employs iterative, local optimization of a cost function to invert the encoded gathers of simultaneous source data. An adjoint method is used to calculate the gradients of the cost function needed for the local optimization process (100). The inverted data yields a physical properties model (110) of the subsurface region that, after iterative updating, can indicate presence of accumulations of hydrocarbons.

A method, network device and computer program product determine a recommended access point (AP) for a wireless device to access a wireless network. AP feature values associated with each one of a plurality of APs within an access range of the wireless device and user feature values associated with identified user features of a user of the wireless device are obtained via a wireless interface. A predicted score for each AP is determined based on the feature values and a recommended AP is determined based on the predicted scores. An identifier associated with the recommended access point is transmitted to the wireless device. AP feature values include AP characteristic, scheduling and payment values. User features include wireless device location and velocity, services-in-use, time of day and day of week. Optionally, circumstantial feature values may be obtained and used to determine the predicted scores.

Apparatus for correcting distortion on an optical transmission link carrying a multiplicity of optical transmission channels, the apparatus comprising: an adjustable optical equalizer, through which a plurality of said channels pass; a field sampler that samples signals passing through said equalizer, such that a plurality of channels passing through the adjustable equalizer are separately sampled; and a controller that receives the samples, determines control parameters for the equalizer therefrom and adjusts the equalizer, responsive to said determined control parameters.

A method for practical QoS routing, which provides a solution to the delay constrained least cost routing problem, is presented. The method uses the concept of aggregated costs and finds the optimal multiplier based on Lagrange relaxation. The method is polynomial in running time, and produces a theoretical lower bound (i.e. optimal solution), along with the result. The differences between the lower bound and result are small, indicating the quality of the result. Additionally, by further relaxing the desire for an optimal solution, an option is provided to control the trade-off between running time of the algorithm and quality of the result.

The invention relates to a method of acquiring MRI image data comprising the following steps: performing a 3-dimensional B1 mapping of a first volume using a first voxel size, selecting an MRI protocol, performing the B1-shim in accordance with the MRI protocol, performing the MRI protocol to acquire MRI imaging data of a second volume using a second voxel size, wherein the first voxel size is larger than the second voxel size, wherein the first volume is larger than the second volume, and wherein the second volume is contained within the first volume.

A method for facilitating the management of a test process is proposed. For this purpose, the different test scenarios included in the process and their execution dependencies are represented by means of a customized UML activity diagram (300a). An execution weight is also associated with each test scenario (for example, defined by the man-hours required for its execution). In this way, it is possible to identify critical test scenarios (315g), which may impair the execution of the whole test process when they fail (because many other test scenarios depend on their successful completion). The order of execution of the test scenarios is then arranged into a test plan, so as to minimize the time required to reach the critical test scenarios. Preferably, the same process is repeated whenever any runtime condition changes (such when a test scenario fails).

A method and system for providing adaptive media optimization are described. Aspects of the invention modify video encoding and network transmission settings to optimize the user viewing experience. The system and method sample video content to determine various content features of the video. The system and method use the identified content features in conjunction with network statistics to modify encoding settings and network transmission options to ensure a minimum of interruption in the transmitted video. Previously generated lookup tables ensure efficient mapping of video content and network conditions to encoding and transmission settings.

A transmitter clips a transmission signal before transmission in order to reduce the strength of at least one peak of the transmission signal exceeding a predetermined threshold. The transmitter includes a clipper having a minimizer, a filter and an adder. The minimizer minimizes of a cost function with respect to an optimization signal, the cost function having weighted terms as a function of the optimization signal. The terms relate to an effective modulation distortion and an effective overshoot exceeding the predetermined threshold. The filter forms a clipping signal by filtering the optimization signal formed as a result of the minimization according to the spectrum emission mask requirements of the radio system. The adder subtracts the clipping signal from the transmission signal.

A method, system and article of manufacture are disclosed for allocating tasks to a team of persons. The method comprises comprising the step of identifying a set of tasks and a set of persons, each of the tasks having a given set of task attributes, and each of the persons having a given set of employee attributes. The method comprises the further steps of establishing a cost function including a set of cost factors based on one or more of the task or employee attributes, and establishing a utility function including a set of utility factors based on one or more of the task or employee attributes. One or more assignments of the tasks among the employees are found that minimizes the cost function; and the one assignment, of said one or more assignments, is identified that maximizes the utility function.