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215
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ICIP
1999
IEEE
16 years 9 months ago
Trainable Pedestrian Detection
Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily config...
Constantine Papageorgiou, Tomaso Poggio
227
Voted
IPMI
2009
Springer
16 years 8 months ago
Fully-Automated White Matter Hyperintensity Detection With Anatomical Prior Knowledge and Without FLAIR
This paper presents a method for detection of cerebral white matter hyperintensities (WMH) based on run-time PD-, T1-, and T2weighted structural magnetic resonance (MR) images of t...
Charles DeCarli, Christopher Schwarz, Evan Fletche...
221
Voted
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 8 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
193
Voted
RECOMB
2006
Springer
16 years 7 months ago
CONTRAlign: Discriminative Training for Protein Sequence Alignment
In this paper, we present CONTRAlign, an extensible and fully automatic framework for parameter learning and protein pairwise sequence alignment using pair conditional random field...
Chuong B. Do, Samuel S. Gross, Serafim Batzoglou
213
Voted
CADE
2008
Springer
16 years 7 months ago
Automated Induction with Constrained Tree Automata
We propose a procedure for automated implicit inductive theorem proving for equational specifications made of rewrite rules with conditions and constraints. The constraints are int...
Adel Bouhoula, Florent Jacquemard