Abstract: Systems and methods for image segmentation using neural networks and active contour methods in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating image segmentations from an input image. The method includes steps for receiving an input image, identifying a set of one or more parameter maps from the input image, identifying an initialization map from the input image, and generating an image segmentation based on the set of parameter maps and the initialization map.

Abstract: Systems and methods for training and implementing a sensorimotor control framework in accordance with embodiments of the invention are illustrated. One embodiment includes a method for operating a sensorimotor control framework. The method includes steps for determining a current state of a musculoskeletal model, determining a desired state of the musculoskeletal model, computing a set of muscle activations, based on a difference between the current and desired states, and driving a musculoskeletal model based on the computed muscle activations.

Abstract: Systems and methods for image segmentation using neural networks and active contour methods in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating image segmentations from an input image. The method includes steps for receiving an input image, identifying a set of one or more parameter maps from the input image, identifying an initialization map from the input image, and generating an image segmentation based on the set of parameter maps and the initialization map.

Abstract: The invention provides a clothing matching system and a method for generating at least an outfit suggestion comprising the steps of determining a colour classification of a user, providing a plurality of articles of clothing, selecting a dress code based on the user preference and generating at least one outfit suggestion based on the colour classification of the user, the plurality of clothing items and the selected dress code.

Abstract: A method includes receiving one or more learning configurations, each learning configuration related to an acceptable arrangement of items within an environment. The method further includes extracting from the learning configurations representative item information and relationship information, synthesizing a configuration of items for a defined environment based at least in part on the extracted representative item information and relationship information, determining a cost of the synthesized configuration, and, based on the cost of the synthesized configuration, identifying the synthesized configuration as acceptable.

Abstract: A method, system, computer-readable medium and data structure are provided for processing image data in connection with image recognition. A response of an image (FIG. 6 element 210) to a basis tensor can be determined after the image is applied thereto. The image response can be flattened (FIG. 6 element 220). A coefficient vector may be extracted from the image response (FIG. 6 element 230). The extracted coefficient vector may be compared to a plurality of different parameters stored in coefficient rows of a matrix (FIG. 6 element 240).

Abstract: A method, system, computer-readable medium and data structure are provided for processing image data in connection with image recognition. A response of an image (FIG. 6 element 210) to a basis tensor can be determined after the image is applied thereto. The image response can be flattened (FIG. 6 element 220). A coefficient vector may be extracted from the image response (FIG. 6 element 230). The extracted coefficient vector may be compared to a plurality of different parameters stored in coefficient rows of a matrix (FIG. 6 element 240).

Abstract: A data structure, method, storage medium and logic arrangement are provided for use in collecting and analyzing multilinear data describing various characteristics of different objects. In particular it is possible to recognize an unknown object or an unknown viewpoint of an object, as well as synthesize a known viewpoint never before recorded of an object, and reduce the amount of stored data describing an object or viewpoint by using dimensionality reduction techniques, and the like.

Abstract: A data structure, method, storage medium and logic arrangement are provided for use in collecting and analyzing multilinear data describing various characteristics of different objects. In particular it is possible to recognize an unknown object or an unknown viewpoint of an object, as well as synthesize a known viewpoint never before recorded of an object, and reduce the amount of stored data describing an object or viewpoint by using dimensionality reduction techniques, and the like.