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CVPR
2011
IEEE
13 years 1 months ago
Iterative Quantization: A Procrustean Approach to Learning Binary Codes
This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...
Yunchao Gong, Svetlana Lazebnik
ACL
2001
13 years 6 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
NIPS
2008
13 years 6 months ago
Regularized Co-Clustering with Dual Supervision
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovi...
ICPR
2004
IEEE
14 years 6 months ago
Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data
The Generalized Local Discriminant Bases (GLDB) algorithm proposed by Kumar, Ghosh and Crawford in [4], is a effective feature extraction method for spectral data. It identifies g...
Pavel Paclík, Robert P. W. Duin, Serguei Ve...
MVA
2007
189views Computer Vision» more  MVA 2007»
13 years 6 months ago
Image Segmentation Using Region Merging Combined with a Multi-class Spectral Method
In this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions i...
Fernando C. Monteiro, Aurélio C. Campilho