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ICML
2008
IEEE
14 years 7 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 ...
CVPR
2003
IEEE
14 years 8 months ago
Fusing Online and Offline Information for Stable 3D Tracking in Real-Time
We propose an efficient online real-time solution for singlecamera 3?D tracking of rigid objects that can handle large camera displacements, drastic aspect changes, and partial oc...
Luca Vacchetti, Vincent Lepetit, Pascal Fua
SIGIR
2010
ACM
13 years 10 months ago
Combining coregularization and consensus-based self-training for multilingual text categorization
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
BMCBI
2008
114views more  BMCBI 2008»
13 years 6 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
TSP
2008
86views more  TSP 2008»
13 years 6 months ago
Fixed-Complexity Soft MIMO Detection via Partial Marginalization
Abstract--This paper presents a new approach to soft demodulation for MIMO channels. The proposed method is an approximation to the exact a posteriori probability-per-bit computer....
Erik G. Larsson, Joakim Jalden