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» Adapting Visual Category Models to New Domains
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IJCAI
2007
14 years 11 months ago
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...
SIGIR
2002
ACM
14 years 9 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
65
Voted
IJCNLP
2005
Springer
15 years 3 months ago
Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain
Abstract. This paper describes a method of adapting a domain-independent HPSG parser to a biomedical domain. Without modifying the grammar and the probabilistic model of the origin...
Tadayoshi Hara, Yusuke Miyao, Jun-ichi Tsujii
VL
2006
IEEE
170views Visual Languages» more  VL 2006»
15 years 3 months ago
A Lightweight Model for End Users' Domain-Specific Data
Many end user programming tools lack adequate support for domain-specific data. We will design a lightweight representation for categories of data, called “topes,” and develop...
Christopher Scaffidi
78
Voted
EPIA
2009
Springer
15 years 4 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes