Invention Grant
- Patent Title: Quantizing feature vectors in decision-making applications
- Patent Title (中): 在决策应用中量化特征向量
-
Application No.: US12753859Application Date: 2010-04-03
-
Publication No.: US08271278B2Publication Date: 2012-09-18
- Inventor: Upendra V. Chaudhari , Hsin I. Tseng , Deepak S. Turaga , Olivier Verscheure
- Applicant: Upendra V. Chaudhari , Hsin I. Tseng , Deepak S. Turaga , Olivier Verscheure
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Ido Tuchman; Anne V. Dougherty
- Main IPC: G10L19/00
- IPC: G10L19/00 ; G10L19/02 ; G10L17/00 ; G10L21/04 ; G10L11/00 ; G10L19/12 ; H04M1/64

Abstract:
A system, method and computer program product for classification of an analog electrical signal using statistical models of training data. A technique is described to quantize the analog electrical signal in a manner which maximizes the compression of the signal while simultaneously minimizing the diminution in the ability to classify the compressed signal. These goals are achieved by utilizing a quantizer designed to minimize the loss in a power of the log-likelihood ratio. A further technique is described to enhance the quantization process by optimally allocating a number of bits for each dimension of the quantized feature vector subject to a maximum number of bits available across all dimensions.
Public/Granted literature
- US20100191531A1 QUANTIZING FEATURE VECTORS IN DECISION-MAKING APPLICATIONS Public/Granted day:2010-07-29
Information query