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95
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ICMLA
2007
15 years 2 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
67
Voted
LREC
2008
57views Education» more  LREC 2008»
15 years 2 months ago
A Development Environment for Configurable Meta-Annotators in a Pipelined NLP Architecture
Information extraction from large data repositories is critical to Information Management solutions. In addition to prerequisite corpus analysis, to determine domain-specific char...
Youssef Drissi, Branimir Boguraev, David Ferrucci,...
107
Voted
LREC
2008
133views Education» more  LREC 2008»
15 years 2 months ago
A Common Ground for Virtual Humans: Using an Ontology in a Natural Language Oriented Virtual Human Architecture
When dealing with large, distributed systems that use state-of-the-art components, individual components are usually developed in parallel. As development continues, the decouplin...
Arno Hartholt, Thomas Russ, David R. Traum, Eduard...
IJCAI
2007
15 years 2 months ago
MB-DPOP: A New Memory-Bounded Algorithm for Distributed Optimization
In distributed combinatorial optimization problems, dynamic programming algorithms like DPOP ([Petcu and Faltings, 2005]) require only a linear number of messages, thus generating...
Adrian Petcu, Boi Faltings
MASCOTS
2008
15 years 2 months ago
Finding Good Configurations in High-Dimensional Spaces: Doing More with Less
Manually tuning tens to hundreds of configuration parameters in a complex software system like a database or an application server is an arduous task. Recent work has looked into ...
Risi Thonangi, Vamsidhar Thummala, Shivnath Babu