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» Using Local Alignments for Relation Recognition
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CVPR
2011
IEEE
13 years 3 months ago
Recognition Using Visual Phrases
In this paper we introduce visual phrases, complex visual composites like “a person riding a horse”. Visual phrases often display significantly reduced visual complexity comp...
Ali Farhadi, Mohammad Amin Sadeghi
BMCBI
2008
176views more  BMCBI 2008»
13 years 7 months ago
H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
Rainer Merkl, Matthias Zwick
ECCV
2006
Springer
14 years 9 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe
CVPR
2005
IEEE
14 years 9 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
ICML
2010
IEEE
13 years 8 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre