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DAS
2010
Springer
15 years 7 months ago
Nearest neighbor based collection OCR
Conventional optical character recognition (OCR) systems operate on individual characters and words, and do not normally exploit document or collection context. We describe a Coll...
K. Pramod Sankar, C. V. Jawahar, Raghavan Manmatha
ICPR
2006
IEEE
16 years 4 months ago
An Oriented-Contour Point Based Voting Algorithm for Vehicle Type Classification
This article deals with an Oriented-Contour Point based voting algorithm for multiclass vehicle type identification (make and model). The system obtains similar results for equiva...
Maurice Milgram, Pablo Negri, Raphael Poulenard, X...
ICPR
2000
IEEE
15 years 8 months ago
Comparison between Two Prototype Representation Schemes for a Nearest Neighbor Classifier
2. Character Recognition System The paper is about the problem of finding good prototypes for a condensed nearest neighbor classifiei- in a recognition system. A comparison study ...
Jari Kangas
166
Voted
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 7 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
CIKM
2011
Springer
14 years 3 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han