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» Classification via semi-Riemannian spaces
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CAINE
2008
13 years 9 months ago
A Recursive Hyperspheric Classification Algorithm
This paper presents a novel method for learning from a labeled dataset to accurately classify unknown data. The recursive algorithm, termed Recursive Hyperspheric Classification, ...
Salyer B. Reed, Carl G. Looney, Sergiu Dascalu
ICML
2005
IEEE
14 years 8 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
SIAMJO
2008
110views more  SIAMJO 2008»
13 years 7 months ago
Subdifferential Calculus Rules in Convex Analysis: A Unifying Approach Via Pointwise Supremum Functions
We provide a rule to calculate the subdifferential of the pointwise supremum of an arbitrary family of convex functions defined on a real locally convex topological vector space. ...
Abderrahim Hantoute, Marco A. López, Consta...
MSCS
2006
54views more  MSCS 2006»
13 years 7 months ago
Quasi-metric spaces and point-free geometry
nded abstract of a paper published on Math. Struct. in Comp. Science, 16 (2006) 115-137) Anna Di Concilio and Giangiacomo Gerla Dipartimento di Matematica e Informatica, Via Ponte...
Anna Di Concilio, Giangiacomo Gerla
TCSV
2010
13 years 2 months ago
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
Chingchun Huang, Sheng-Jyh Wang