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ICCV
2011
IEEE
14 years 8 months ago
Segmentation as Selective Search for Object Recognition
Software available at http://disi.unitn.it/~uijlings or http://koen.me/research/ For object recognition, the current state-of-the-art is based on exhaustive search. However, to ...
K van de Sande, J Uijlings, T Gevers, A Smeulders
NGC
1998
Springer
115views Communications» more  NGC 1998»
15 years 6 months ago
On Semantic Resolution with Lemmaizing and Contraction and a Formal Treatment of Caching
Reducing redundancy in search has been a major concern for automated deduction. Subgoal-reduction strategies, such as those based on model elimination and implemented in Prolog te...
Maria Paola Bonacina, Jieh Hsiang
IEEECIT
2009
IEEE
16 years 1 months ago
Applying Collective Intelligence for Search Improvement on Thai Herbal Information
— Knowledge about herbal medicine can be contributed from experts in several cultures. With the conventional techniques, it is hard to find the way which the experts can build a ...
Verayuth Lertnattee, Sinthop Chomya, Thanaruk Thee...
SISAP
2008
IEEE
175views Data Mining» more  SISAP 2008»
16 years 23 days ago
Anytime K-Nearest Neighbor Search for Database Applications
Many contemporary database applications require similarity-based retrieval of complex objects where the only usable knowledge of its domain is determined by a metric distance func...
Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. ...
BIOCOMP
2006
15 years 7 months ago
Acceleration of Covariance Models for Non-coding RNA Search
Stochastic context-free grammar (SCFG) based models for non-coding RNA (ncRNA) gene searches are much more powerful than regular grammar based models due to the ability to model in...
Scott F. Smith 0002