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» Dimension Characterizations of Complexity Classes
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162
Voted
ECCV
2010
Springer
15 years 9 months ago
Maximum Margin Distance Learning for Dynamic Texture Recognition
The range space of dynamic textures spans spatiotemporal phenomena that vary along three fundamental dimensions: spatial texture, spatial texture layout, and dynamics. By describin...
130
Voted
SMA
1997
ACM
120views Solid Modeling» more  SMA 1997»
15 years 7 months ago
The Generic Geometric Complex (GGC): A Modeling Scheme for Families of Decomposed Pointsets
: Modeling of families of geometric objects is a major topic in modern geometric and solid modeling. Object families are central to many important solid modeling applications, incl...
Ari Rappoport
162
Voted
FSTTCS
1992
Springer
15 years 7 months ago
Structural Average Case Complexity
Levin introduced an average-case complexity measure, based on a notion of \polynomialon average," and de ned \average-case polynomial-time many-one reducibility" amongra...
Rainer Schuler, Tomoyuki Yamakami
128
Voted
ALT
2006
Springer
16 years 18 days ago
How Many Query Superpositions Are Needed to Learn?
Abstract. This paper introduces a framework for quantum exact learning via queries, the so-called quantum protocol. It is shown that usual protocols in the classical learning setti...
Jorge Castro
117
Voted
BMCBI
2010
109views more  BMCBI 2010»
15 years 3 months ago
Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...
Andrew J. Bordner, Hans D. Mittelmann