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PR
2008
104views more  PR 2008»
13 years 9 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
BMCBI
2008
173views more  BMCBI 2008»
13 years 9 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
RIAO
2004
13 years 10 months ago
Chinese Character Expansion for Retrieving Japanese Paraphrases
This paper proposes two methods of query expansion for retrieving paraphrase candidates indexed by Kanzi (Chinese) characters. The idea is to calculate similarity between Kanzi ch...
Takenobu Tokunaga, Yoshiki Tezuka, Hozumi Tanaka
ICIP
2005
IEEE
14 years 10 months ago
Similarity-based and perception-based image segmentation
In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analy...
Jérémy Huart, Pascal Bertolino
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
14 years 21 days ago
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
Samuel Kadoury, Martin D. Levine