Ajay V Joshi

US Patent:

8140450, Mar 20, 2012

Filed:

Mar 27, 2009

Appl. No.:

12/413492

Inventors:

Fatih M. Porikli - Watertown MA, US
Ajay Joshi - Minneapolis MN, US

Assignee:

Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

A method trains a multi-class classifier by iteratively performing the following steps until a termination condition is reached. The probabilities of class membership for unlabeled data obtained from an active pool of unlabeled data are estimated. A difference between a largest probability and a second largest probability is determined. The unlabeled data with the lowest difference is selected, labeled and then added to a training data set for training the classifier.

US Patent:

8401282, Mar 19, 2013

Filed:

Mar 26, 2010

Appl. No.:

12/732225

Inventors:

Fatih Porikli - Watertown MA, US
Ajay Joshi - Minneapolis MN, US

Assignee:

Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA

International Classification:

G06K 9/62
G06K 9/00
G06K 9/54
G06K 9/60

US Classification:

382159, 382155, 382181, 382305

Abstract:

A multi-class classifier is trained by selecting a query image from a set of active images based on a membership probability determined by the classifier, wherein the active images are unlabeled. A sample image is selected from a set of training image based on the membership probability of the query image, wherein the training images are labeled. The query image and the sample images are displayed to a user on an output device. A response from the user is obtained with an input device, wherein the response is a yes-match or a no-match. The query image with the label of the sample image is added to the training set if the yes-match is obtained, and otherwise repeating the selecting, displaying, and obtaining steps until a predetermined number of no-match is reached to obtain the multi-class classifier.

Author:

Ajay Joshi

ISBN #:

8185031207