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ECML
2007
Springer
15 years 7 months ago
Discriminative Sequence Labeling by Z-Score Optimization
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
Elisa Ricci, Tijl De Bie, Nello Cristianini
IDA
2007
Springer
15 years 7 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
133
Voted
ILP
2007
Springer
15 years 7 months ago
Learning with Kernels and Logical Representations
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Paolo Frasconi
CRV
2006
IEEE
223views Robotics» more  CRV 2006»
15 years 7 months ago
Disparity Map Estimation Using A Total Variation Bound
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an ob...
Wided Miled, Jean-Christophe Pesquet
ECOOP
1999
Springer
15 years 6 months ago
Type-Safe Delegation for Run-Time Component Adaptation
Abstract. The aim of component technology is the replacement of large monolithic applications with sets of smaller software components, whose particular functionality and interoper...
Günter Kniesel