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» Evaluating learning algorithms and classifiers
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AI
2004
Springer
13 years 8 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu

Publication
353views
13 years 9 months ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
WDAG
2005
Springer
104views Algorithms» more  WDAG 2005»
14 years 2 months ago
Polymorphic Contention Management
Abstract. In software transactional memory (STM) systems, a contention manager resolves conflicts among transactions accessing the same memory locations. Whereas atomicity and ser...
Rachid Guerraoui, Maurice Herlihy, Bastian Pochon
TMC
2010
115views more  TMC 2010»
13 years 7 months ago
Controlled Wi-Fi Sharing in Cities: A Decentralized Approach Relying on Indirect Reciprocity
—In densely populated cities, Wi-Fi networks—private or otherwise—are ubiquitous. We focus on the provision of citywide broadband communication capability to mobile users thr...
Elias C. Efstathiou, Pantelis A. Frangoudis, Georg...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 1 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last