James A Schaffer

Author:

James P. Schaffer

ISBN #:

0195154517

Author:

James P. Schaffer

ISBN #:

0072362820

Author:

James P. Schaffer

ISBN #:

0072445521

Author:

James P. Schaffer

ISBN #:

0075618370

Author:

James P. Schaffer

ISBN #:

0256114404

Author:

James P. Schaffer

ISBN #:

0256195803

Author:

James P. Schaffer

ISBN #:

0256247668

Author:

James Schaffer

ISBN #:

0071440410

US Patent:

6990635, Jan 24, 2006

Filed:

Jan 24, 2001

Appl. No.:

09/768913

Inventors:

Kaushal Kurapati - Yorktown Heights NY, US
James David Schaffer - Wappingers Falls NY, US

Assignee:

Koninklijke Philips Electronics N.V. - Eindhoven

International Classification:

G06F 5/00

US Classification:

715747, 725 37

Abstract:

A user interface for a TV recommender system includes a display screen having a first region for displaying a rating derived from a previously defined TV viewing preference profile contained in the recommender system; and a second region displaying preference settings in the profile which were used to derive the rating. The user interface enables the preference settings to be changed if the rating derived by the profile is incorrect. Additionally, the user interface allows for new features to be added to the profile, which were not previously a part of the profile.

US Patent:

7131134, Oct 31, 2006

Filed:

May 8, 2001

Appl. No.:

09/850755

Inventors:

Karen I. Trovato - Putnam Valley NY, US
James D. Schaffer - Wappingers Falls NY, US
Kaushal Kurapati - Yorktown Heights NY, US

Assignee:

Koninklijke Philips Electronics N.V. - Eindhoven

International Classification:

G06F 3/00
G06F 13/00
H04N 5/445

US Classification:

725 46, 725 44, 725 47

Abstract:

An apparatus and method for recommending a schedule of events to a user is disclosed. In the preferred embodiment of the system and method, each channel schedule is broken down into time slices. A novel fuzzy-now recommendation-time value is calculated for each time slice. This fuzzy-now recommendation-time value is a two dimensional value measured in units of recommendation-time, or “enjoyment minutes”. By means of the calculated fuzzy-now recommendation-time values, recommended schedules may be generated using a wide variety of selection methods.

US Patent:

8199991, Jun 12, 2012

Filed:

Dec 3, 2007

Appl. No.:

12/516931

Inventors:

Lalitha Agnihotri - Tarrytown NY, US
James David Schaffer - Wappingers Falls NY, US
Nevenka Dimitrova - Pelham Manor NY, US

Assignee:

Koninklijke Philips Electronics N.V. - Eindhoven

International Classification:

G06K 9/36

US Classification:

382129, 382199, 382280

Abstract:

A method of automatically identifying the microarray chip corners and probes, even if there are no probes at the corners, in a high density and high resolution microarray scanned image having an image space, wherein the method minimizes the error distortions in the image arising in the scanning process by applying to the image a multipass corner finding algorithm comprising: (a) applying a Radon transform to an input microarray image to project the image into an angle and distance space where it is possible to find the orientation of the straight lines; (b) applying a fast Fourier transform to the projected image of (a) to find the optimal tilting angle of the projected image; (c) determining the optimal first and last local maxima for the optimal tilting angle; (d) back projecting the determined first and last local maxima to the image space to find the first approximation of the first and last column lines of the image; (e) rotating the image and repeating steps (a) through (d) to find the first approximation of the top and bottom row lines of the image; (f) determining the first approximation of the four corners of the image from the intersection of the column and row lines; (g) applying a heuristic for determining if the first approximation of step (f) is sufficient; and (h) optionally trimming the scanned image around the first approximation of the four corners and repeating steps (a) through (f).

US Patent:

8494871, Jul 23, 2013

Filed:

Jul 11, 2008

Appl. No.:

12/668431

Inventors:

James David Schaffer - Wappingers Falls NY, US
Mark R. Simpson - White Plains NY, US
Nicolas Wadih Chbat - White Plain NY, US
Nilanjana Banerjee - Armonk NY, US
Yasser H. Alsafadi - Yorktown Heights NY, US

Assignee:

Koninklijke Philips N.V. - Eindhoven

International Classification:

G06Q 10/00

US Classification:

705 2, 705 3

Abstract:

A medical apparatus () assists clinicians, nurses or other users in choosing an intervention for the treatment of a patent suffering from an acute dynamic disease, e. g. sepsis. The medical apparatus is based on a method where a model of the disease is adapted or personalized to the patient. To ensure that the apparatus remains capable of predicting the health of the patient, the apparatus is continuously provided with new, more recent patient values and the model is continuously adapted to the new patient values. Since the medical apparatus is configured to be continuously adapted to current state of health, the apparatus is able to assist the user by generating disease management information, e. g. suggestions for medications, to an output device ().

US Patent:

8208697, Jun 26, 2012

Filed:

Dec 13, 2005

Appl. No.:

11/721999

Inventors:

James David Schaffer - Wappingers Falls NY, US
Walid Ali - Croton-On-Hudson NY, US
Larry J. Eshelman - Ossining NY, US
Claude Cohen-Bacrie - New York NY, US
Jean-Michel Lagrange - Moissy Cramayel, FR
Claire Levrier - Rueil-Malmaison, FR
Nicholas Villain - Clamart, FR
Robert R. Entrekin - Kirkland WA, US

Assignee:

Koninklijke Philips Electronics N.V. - Eindhoven

International Classification:

G06K 9/36

US Classification:

382128, 382130, 382132, 382155, 382156, 382157

Abstract:

A method for determining the presence or absence of malignant features in medical images, wherein a plurality of base comparison or training images of various types of lesions taken of actual patient is examined by one or more image reading experts to create a first database array. Low-level features of each of the lesions in the same plurality of base comparisons or training images are determined using one or more image processing algorithms to obtain a second database array set. The first and second database array set are combined to create a training database array set which is input to a learning system that discovers/learns a classifier that maps from a subset of the low-level features to the expert's evaluation in the first database array set. The classifier is used to determine the presence of a particular mid-level feature in an image of lesion in a patient based solely on the image.

US Patent:

20020116710, Aug 22, 2002

Filed:

Feb 22, 2001

Appl. No.:

09/791999

Inventors:

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

International Classification:

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

US Classification:

725/046000, 725/009000, 725/035000

Abstract:

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.

US Patent:

20030145326, Jul 31, 2003

Filed:

Jan 31, 2002

Appl. No.:

10/066453

Inventors:

Srinivas Gutta - Yorktown Heights NY, US
James Schaffer - Wappingers Falls NY, US
Larry Eshelman - Ossining NY, US

Assignee:

Koninklijke Philips Electronics N.V.

International Classification:

H04N005/445

US Classification:

725/046000, 725/051000

Abstract:

A system and method for subscribing TV programs according to the preferences of the user based on the user's past viewing history. The system keeps track of all the programs watched by the user to generate a profile indicative of the frequency of a particular program being watched. Then, a plurality of subscription plans based on the viewer's viewing habit stored in the user profile is offered to the user, so that the user can selectively pay for the programs of his or her interest, instead of paying for the entire programs.

US Patent:

20040010480, Jan 15, 2004

Filed:

Jul 9, 2002

Appl. No.:

10/190810

Inventors:

Lalitha Agnihotri - Fishkill NY, US
James Schaffer - Wappingers Falls NY, US
Nevenka Dimitrova - Yorktown Heights NY, US
Thomas McGee - Garrison NY, US
Sylvie Jeannin - Paris, FR

International Classification:

G06G007/00
G06F015/18
G06N003/12
G06N003/00
G06N003/067
G06N003/063
G06N003/06
G06N003/08
G06E003/00
G06E001/00

US Classification:

706/020000, 706/016000, 706/025000, 706/031000, 706/013000

Abstract:

A method for operating a neural network, and a program and apparatus that operate in accordance with the method. The method comprises the steps of applying data indicative of predetermined content, derived from an electronic signal including a representation of the predetermined content, to an input of at least one neural network, to cause the at least one network to generate at least one output indicative of either a detection or a non-detection of the predetermined content. Each neural network has an architecture specified by at least one corresponding parameter. The method also comprises a step of evolving the at least one parameter to modify the architecture of the at least one neural network, based on the at least one output, to increase an accuracy at which that at least one neural network detects the predetermined content indicated by the data.