Keith E Mathias, 6614324 Eagle Villa Grv, Colorado Springs, CO 80921

6480627, Nov 12, 2002

Jun 29, 1999

09/343649

Keith E. Mathias - Ossining NY
Murali Mani - Chappaqua NY
J. David Schaffer - Wappingers Falls NY

Koninklijke Philips Electronics N.V. - Eindhoven

G06K 900

382224, 382112, 382141, 382149, 382159, 382181, 382209, 382225, 382309, 348 86, 348 92, 358406, 706 20

An evolutionary algorithm evolves alternative architectures and parameters for an image classification system. In a preferred embodiment, a learning system is employed, and during the training period of the learning system, the architecture of the learning system is evolved so as to create a learning system that is well suited to the particular classification problem set. In like manner, other parameters of the image classification system are evolved by the evolutionary algorithm, including those that effect image characterization, learning, and classification. An initial set of parameters and architectures are used to create a set of trial classification systems. A number of pre-classified evaluation images are then applied to each system, and each systems resultant classifications for each test case is compared to the proper classification of each test case. Subsequent trial classification systems are evolved based upon the parameters and architecture of the better performing classification systems. The best performing classification system is then selected as the production classification system for classifying new images.

6492905, Dec 10, 2002

Aug 20, 2001

09/933554

Keith E. Mathias - Ossining NY
J. David Schaffer - Wappingers Falls NY

Koninklijke Philips Electronics N.V. - Eindhoven

G08B 2100

340540, 340568, 340572, 340522, 34082532, 34082534

A security system incorporating a reasoning system and security rules and processes. Transponders may be triggered and sensed from a distance to identify both items and individuals. These sensed identifiers are processed by the reasoning system to determine whether each identified item is authorized to be removed from or brought into a secured location by the identified individual. The system modifies and optimizes its rules and processes based on assessments of security events. The security system enforces these security rules and receives feedback from authorized security personnel. A learning system is configured to modify existing rules or create new rules in conformance with the feedback from the authorized security personnel.

6553357, Apr 22, 2003

Sep 1, 1999

09/387488

Keith E. Mathias - Ossining NY
Larry J. Eshelman - Ossining NY
J. David Schaffer - Wappingers Falls NY

Koninklijke Philips Electronics N.V. - Eindhoven

G06N 302

706 25, 706 15, 706 16, 706 27

The noise associated with conventional techniques for evolutionary improvement of neural network architectures is reduced so that of an optimum architecture can be determined more efficiently and more effectively. Parameters that affect the initialization of a neural network architecture are included within the encoding that is used by an evolutionary algorithm to optimize the neural network architecture. The example initialization parameters include an encoding that determines the initial nodal weights used in each architecture at the commencement of the training cycle. By including the initialization parameters within the encoding used by the evolutionary algorithm, the initialization parameters that have a positive effect on the performance of the resultant evolved network architecture are propagated and potentially improved from generation to generation. Conversely, initialization parameters that, for example, cause the resultant evolved network to be poorly trained, will not be propagated. In accordance with a second aspect of this invention, the encoding also includes parameters that affect the training process, such as the duration of the training cycle, the training inputs applied, and so on.

7606784, Oct 20, 2009

Aug 2, 2005

11/196647

Keith Eugene Mathias - Parker CO, US
Mark Robert Nixon - Topanga CA, US
Patrick James Talbot - Colorado Springs CO, US

Northrop Grumman Corporation - Los Angeles CA

G06N 7/02
G06N 7/06

706 52, 703 2, 702 20

Systems and methods are provided for constructing and evaluating a story of interest. The system includes a plurality of decision algorithms. Each decision algorithm is operative to quantify at least one category of uncertainty associated with the story of interest as a set of at least one uncertainty parameter. An uncertainty management component is operative to reconcile the sets of uncertainty parameters from the plurality of decision algorithms as to produce a global uncertainty parameter for each of the plurality of uncertainty categories for the story of interest.

8578439, Nov 5, 2013

Jan 28, 2000

09/493961

Keith E. Mathias - Ossining NY, US
Karen I. Trovato - Putnam Valley NY, US
J. David Schaffer - Wappingers Falls NY, US

Koninklijke Philips N.V. - Eindhoven

H04N 5/445
H04N 7/16

725141, 725 46, 725 48, 725 58

System actions such as presentation of information to a user via a remote control device are carried out in accordance with user preferences based on, e. g. , observed user behavior over time. The preferences may be learned by observation of user actions and corresponding system state information, and the preferences may be verified by the user. Particular actions may then be repeated under the control of the system, when appropriate conditions are met. Repetition may be automatic, semi-automatic or user initiated. In an illustrative embodiment, information is presented to a user via a remote control device based at least in part on the determined preference. The information presented to the user via the remote control device may include, e. g. , an alarm signal associated with a particular parameter specified by the user, a visible icon presented to the user on a display of the remote control device, or other types of information presented via other types of interfaces, such as audio, speech or tactile interfaces.

8589404, Nov 19, 2013

Jun 19, 2012

13/527268

Kirk Dunkelberger - Fort Wayne IN, US
Eva-Marie Proszkow - Silver Spring MD, US
Jason S. Byassee - Highlands Ranch CO, US
Keith E. Mathias - Parker CO, US
Earl C. Pilloud - Parker CO, US
Daniel A. Pier - Englewood CO, US

Northrop Grumman Systems Corporation - Falls Church VA

G06F 17/30

707743, 707736

Systems and methods are provided for retrieving data relevant to a subject of interest. Occurrences of each of a plurality of n-grams within the data record are identified. A multinomial distribution is defined from the respective numbers of occurrence of a subset of the plurality of n-grams. The multinomial distribution is stored in a semantic model as a point on an information manifold. The semantic model is configured to represent an indexed family of probability distributions as points on the information manifold. It is determined if the data record is relevant to the subject of interest according to the position of the point on the information manifold, and the data record is retrieved if the data record is relevant to the subject of interest.

2002011, Aug 22, 2002

Feb 22, 2001

09/791999

James Schaffer - Wappingers Falls NY, US
Paul Rankin - Surrey, GB
Keith Mathias - Parker CO, US
John Milanski - Boulder CO, US

H04N007/16
H04H009/00
H04N007/025
H04N007/10
G06F003/00
H04N005/445
G06F013/00

725/046000, 725/009000, 725/035000

A TV viewer profile initializer for reducing the time it takes for an implicit profiler-based TV recommender to produce accurate TV recommendations. The profiles initializer utilizes stereotype profiles from a substantial pool of TV viewing behavior of a representative number of TV viewers. By applying clustering methods to such data, stereotype profiles can emerge. New viewers are then be offered a selection of stereotype profiles to choose from to initialize their own personal TV viewing profile. Thus, a single choice will suffice to provide a predictable TV show recommender that is presumably fairly close to a viewer's own preferences. After this initialization, the profile can be adapted by the user's own viewing behavior to migrate from the initial stereotype towards a more accurate profile of the user.

6196917, Mar 6, 2001

Nov 20, 1998

9/196573

Keith E. Mathias - Ossining NY
J. David Schaffer - Wappingers Falls NY

Philips Electronics North America Corp. - New York NY

A63F 924

463 2

A user interface is provided that allows for the control of the movement of multiple objects by the identification of a target location associated with each of the multiple objects. The identification of the target location is via a coordinate pointer associated with an input device, and the association of the target location to a particular object is via the closure of a switch on an input device that is associated with the particular object. After identifying an associated target location, the object is moved toward the target location without further input from the user. In a preferred embodiment, the movement of the object toward the target location is dependent upon rules of motion and rules of engagement with other objects or obstacles, thereby facilitating a realistic rendering of the object's path toward the target. The rules of motion and engagement may be specific to each type of object being moved, and also subject to the interactions of multiple objects and obstacles.