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» Learning from compressed observations
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ICML
2008
IEEE
15 years 10 months ago
Estimating labels from label proportions
Consider the following problem: given sets of unlabeled observations, each set with known label proportions, predict the labels of another set of observations, also with known lab...
Alex J. Smola, Novi Quadrianto, Quoc V. Le, Tib&ea...
SIGGRAPH
2009
ACM
15 years 4 months ago
RACBVHs: random-accessible compressed bounding volume hierarchies
We present a novel bounding volume hierarchy (BVH) compression and decompression method transparently supporting random access on the compressed BVHs. To support random access on ...
Tae-Joon Kim, Bochang Moon, Duksu Kim, Sung-Eui Yo...
ALT
2010
Springer
14 years 10 months ago
Recursive Teaching Dimension, Learning Complexity, and Maximum Classes
This paper is concerned with the combinatorial structure of concept classes that can be learned from a small number of examples. We show that the recently introduced notion of recu...
Thorsten Doliwa, Hans-Ulrich Simon, Sandra Zilles
DAGM
2004
Springer
15 years 3 months ago
Learning Depth from Stereo
We compare two approaches to the problem of estimating the depth of a point in space from observing its image position in two
Fabian H. Sinz, Joaquin Quiñonero Candela, ...
JKM
2006
135views more  JKM 2006»
14 years 9 months ago
Learning from the Mars Rover Mission: scientific discovery, learning and memory
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
Charlotte Linde