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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
LOCA
2009
Springer
15 years 11 months ago
LOCK: A Highly Accurate, Easy-to-Use Location-Based Access Control System
With proliferation of ubiquitous computing, digital access is facing an increasing risk since unauthorized client located at any place may intrude a local server. Location Based Ac...
Yongcai Wang, Junhui Zhao, Toshikazu Fukushima
ECAI
2004
Springer
15 years 10 months ago
Automatic Recognition of Famous Artists by Machine
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...
Gerhard Widmer, Patrick Zanon
CIMCA
2005
IEEE
15 years 10 months ago
Topic-Based Audience Metrics for Internet Marketing by Combining Ontologies and Output Page Mining
In Internet marketing, Web audience analysis is essential to understanding the visitors’ needs. However, the existing analysis tools fail to deliver summarized and conceptual me...
Jean-Pierre Norguet, Esteban Zimányi
143
Voted
ACL
2006
15 years 6 months ago
Japanese Dependency Parsing Using Co-Occurrence Information and a Combination of Case Elements
In this paper, we present a method that improves Japanese dependency parsing by using large-scale statistical information. It takes into account two kinds of information not consi...
Takeshi Abekawa, Manabu Okumura