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» Boosting with incomplete information
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CVPR
2009
IEEE
15 years 4 months ago
Contextualizing histogram
In this paper, we investigate how to incorporate spatial and/or temporal contextual information into classical histogram features with the aim of boosting visual classification p...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim
FASE
2007
Springer
15 years 4 months ago
An Approach to Software Evolution Based on Semantic Change
The analysis of the evolution of software systems is a useful source of information for a variety of activities, such as reverse engineering, maintenance, and predicting the future...
Romain Robbes, Michele Lanza, Mircea Lungu
PVLDB
2008
94views more  PVLDB 2008»
14 years 9 months ago
Dynamic active probing of helpdesk databases
Helpdesk databases are used to store past interactions between customers and companies to improve customer service quality. One common scenario of using helpdesk database is to fi...
Shenghuo Zhu, Tao Li, Zhiyuan Chen, Dingding Wang,...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 2 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
ISCAS
2006
IEEE
124views Hardware» more  ISCAS 2006»
15 years 3 months ago
Distributed evidence filtering: the recursive case
Abstract— A novel approach named recursive evidence filtering for information processing in Distributed Sensor Networks (DSNs) is presented. It is based on the Dempster-Shafer (...
Duminda A. Dewasurendra, Peter H. Bauer, Kamal Pre...