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» The use of recognition in group decision-making
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PR
2008
108views more  PR 2008»
14 years 11 months ago
From dynamic classifier selection to dynamic ensemble selection
In handwritten pattern recognition, the multiple classifier system has been shown to be useful for improving recognition rates. One of the most important tasks in optimizing a mul...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
MOBISYS
2011
ACM
14 years 2 months ago
TagSense: a smartphone-based approach to automatic image tagging
Mobile phones are becoming the convergent platform for personal sensing, computing, and communication. This paper attempts to exploit this convergence towards the problem of autom...
Chuan Qin, Xuan Bao, Romit Roy Choudhury, Srihari ...
EJASMP
2010
136views more  EJASMP 2010»
14 years 6 months ago
Ageing Voices: The Effect of Changes in Voice Parameters on ASR Performance
With ageing, human voices undergo several changes which are typically characterized by increased hoarseness and changes in articulation patterns. In this study, we have examined t...
Ravichander Vipperla, Steve Renals, Joe Frankel
ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
ICCV
2007
IEEE
16 years 1 months ago
Classification of Weakly-Labeled Data with Partial Equivalence Relations
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
Sanjiv Kumar, Henry A. Rowley