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SSIAI
2000
IEEE
14 years 3 days ago
Lower-Level and Higher-Level Approaches to Content-Based Image Retrieval
This paper describes a content-based image retrieval system that employs both higher-level and lower-level vision methodologies separately and in conjunction for the retrieval of ...
Qasim Iqbal, Jake K. Aggarwal
CLUSTER
2009
IEEE
14 years 2 months ago
Accelerating SIFT on parallel architectures
Abstract—SIFT is a widely-used algorithm that extracts features from images; using it to extract information from hundreds of terabytes of aerial and satellite photographs requir...
Seth Warn, Wesley Emeneker, Jackson Cothren, Amy W...
NIPS
2007
13 years 9 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ICCV
2003
IEEE
14 years 9 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager
ACL
2009
13 years 5 months ago
Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation
We describe Joshua (Li et al., 2009a)1, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronou...
Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri ...