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BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
16 years 1 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
207
Voted
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
16 years 1 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
ICPR
2008
IEEE
16 years 1 months ago
Generative models for fingerprint individuality using ridge models
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
Chang Su, Sargur N. Srihari
229
Voted
CIRA
2007
IEEE
152views Robotics» more  CIRA 2007»
16 years 1 months ago
Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
Martin Persson, Tom Duckett, Christoffer Valgren, ...
ICASSP
2007
IEEE
16 years 1 months ago
Exploiting Concept Association to Boost Multimedia Semantic Concept Detection
In the paper we study the efficiency of semantic concept association in multimedia semantic concept detection. We present an approach to automatically learn from the corpus the as...
Sheng Gao, Xinglei Zhu, Qibin Sun
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