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» Making inferences with small numbers of training sets
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NIPS
2004
13 years 10 months ago
The power of feature clustering: An application to object detection
We give a fast rejection scheme that is based on image segments and demonstrate it on the canonical example of face detection. However, instead of focusing on the detection step w...
Shai Avidan, Moshe Butman
JMLR
2010
195views more  JMLR 2010»
13 years 7 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
COLING
2010
13 years 3 months ago
Informed ways of improving data-driven dependency parsing for German
We investigate a series of targeted modifications to a data-driven dependency parser of German and show that these can be highly effective even for a relatively well studied langu...
Wolfgang Seeker, Bernd Bohnet, Lilja Øvreli...
MANSCI
2006
70views more  MANSCI 2006»
13 years 8 months ago
Modeling the "Pseudodeductible" in Insurance Claims Decisions
In many different managerial contexts, consumers "leave money on the table" by, for example, their failure to claim rebates, use available coupons, and so on. This proje...
Michael Braun, Peter S. Fader, Eric T. Bradlow, Ho...
BMCBI
2004
87views more  BMCBI 2004»
13 years 8 months ago
prot4EST: Translating Expressed Sequence Tags from neglected genomes
Background: The genomes of an increasing number of species are being investigated through generation of expressed sequence tags (ESTs). However, ESTs are prone to sequencing error...
James Wasmuth, Mark L. Blaxter