Sarnoff Corporation

Siemens Corporation

Rca Thomson Licensing Corp.

John C Pearson

Paul Sajda

Clay Douglas Spence

Gianluca Paladini

Lance Anthony Ladic

Rafael Alonso

David Rapaport

Lawrence Tarbox

Michael Chase Murdock

The present invention discloses a method and system for deploying software, e.g., software modules designed for acquisition and/or post-processing of images related to a particular imaging agent. The modules can be remotely accessed from a software server.

System and method for deployment of configuration and analysis software

A system and a concomitant method for providing programming content in response to an audio signal. The programming content and the audio signal are transmitted in a network having a forward channel and a back channel. In one embodiment, the system comprises a local processing unit and a remote server computer. A first user provides a first audio signal containing a request for programming content from a service provider. The local processing unit receives the first audio signal and transmits the received first audio signal to a service provider via the back channel. The remote server computer receives the first audio signal from the back channel, recognizes the first user and the request for programming content, retrieves the requested programming content from a program database and transmits the programming content to the local processing unit via the forward channel.

System and method for providing programming content in response to an audio signal

A method and concomitant apparatus for interactively accessing information from a computer network, such as a TCP/IP network, suitable for use in an interactive information distribution system, illustratively a cable television system or a video on demand system.

Interactive world wide web access using a set top terminal in a video on demand system

A signal processing apparatus and concomitant method for learning and integrating features from multiple resolutions for detecting and/or classifying objects are presented. Neural networks in a pattern tree structure with tree-structured descriptions of objects in terms of simple sub-patterns, are grown and trained to detect and integrate the sub-patterns. A plurality of objective functions and their approximations are presented to train the neural networks to detect sub-patterns of features of some class of objects. Objective functions for training neural networks to detect objects whose positions in the training data are uncertain and for addressing supervised learning where there are potential errors in the training data are also presented.

Method and apparatus for training a neural network to learn hierarchical

A television signal processing apparatus includes at least one neural network for processing a signal representing an image. The neural network includes a plurality of perceptrons each of which includes circuitry for weighting a plurality of delayed representations of said signal, circuitry for providing sums of weighted signals provided by said weighting circuitry, and circuitry for processing said sums with a sigmoidal transfer function. The neural network also includes circuitry for combining output signals provided by ones of said perceptrons for providing a processed signal.

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Lawrenceville, NJ, United States of America

John C Pearson