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» On a vector q-d algorithm
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141
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PAMI
2006
126views more  PAMI 2006»
15 years 3 months ago
A 3D Shape Constraint on Video
We propose to combine the information from multiple motion fields by enforcing a constraint on the surface normals (3D shape) of the scene in view. The fact that the shape vectors ...
Hui Ji, Cornelia Fermüller
139
Voted
TIFS
2008
194views more  TIFS 2008»
15 years 3 months ago
Detection of Double-Compression in JPEG Images for Applications in Steganography
This paper presents a method for detection of double JPEG compression and a maximum likelihood estimator of the primary quality factor. These methods are essential for construction...
Tomás Pevný, Jessica J. Fridrich
ICA
2007
Springer
15 years 9 months ago
Dictionary Learning for L1-Exact Sparse Coding
We have derived a new algorithm for dictionary learning for sparse coding in the ℓ1 exact sparse framework. The algorithm does not rely on an approximation residual to operate, b...
Mark D. Plumbley
138
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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 4 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
128
Voted
STOC
2002
ACM
140views Algorithms» more  STOC 2002»
16 years 3 months ago
Finding nearest neighbors in growth-restricted metrics
Most research on nearest neighbor algorithms in the literature has been focused on the Euclidean case. In many practical search problems however, the underlying metric is non-Eucl...
David R. Karger, Matthias Ruhl