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» A Data Model for Effectively Computable Functions
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ICML
2008
IEEE
14 years 8 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
ICCV
2011
IEEE
12 years 7 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
BIRTHDAY
2008
Springer
13 years 9 months ago
The Church-Turing Thesis over Arbitrary Domains
The Church-Turing Thesis has been the subject of many variations and interpretations over the years. Specifically, there are versions that refer only to functions over the natural ...
Udi Boker, Nachum Dershowitz
ECCV
2008
Springer
14 years 9 months ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
BIBM
2009
IEEE
140views Bioinformatics» more  BIBM 2009»
13 years 11 months ago
A Protein-Protein Interaction Prediction Method Embracing Intra-protein Domain Cohesion Information
Recently, many computational methods for predicting protein-protein interaction (PPI) have been developed by utilizing domain-domain interaction or associated information. However...
Woo-Hyuk Jang, Suk Hoon Jung, Bo-ra Hyun, Dong-Soo...