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125
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COLT
2004
Springer
15 years 6 months ago
Regret Bounds for Hierarchical Classification with Linear-Threshold Functions
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
139
Voted
NIPS
2001
15 years 4 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
122
Voted
ICPR
2006
IEEE
16 years 3 months ago
DTM Generation from LIDAR Data using Skewness Balancing
LIght Detection And Ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital...
David C. Mason, Hong Wei, Marc Bartels
103
Voted
ICPR
2004
IEEE
16 years 3 months ago
Human Action Segmentation via Controlled Use of Missing Data in HMMs
Segmentation of individual actions from a stream of human motion is an open problem in computer vision. This paper approaches the problem of segmenting higher-level activities int...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
96
Voted
BMCBI
2008
83views more  BMCBI 2008»
15 years 2 months ago
A Java-based tool for the design of classification microarrays
Background: Classification microarrays are used for purposes such as identifying strains of bacteria and determining genetic relationships to understand the epidemiology of an inf...
Da Meng, Shira L. Broschat, Douglas R. Call