Tags
k-svd
cache-oblivious
loser-tree
radixsort
cache-aware
quadric-error metric
volume conservation
needlets
overcomplete dictionaries
spherical designs
frames
tight frames
batchomp
omp
overcomplete dictionary
online learning
dictionary learning
sparsity methods
linear blend skinning. animation compression. weig
skinning
lfg
lcg
crypto-hash
leapfrogging
tea
parallel random numbers
nlm
patchmatch
message-passing
crf
See more
Presentations
(7)Documents
(1)Likes
(5)Recent advances on low-rank and sparse decomposition for moving object detection
Andrews Cordolino Sobral
•
9 years ago
Incremental and Multi-feature Tensor Subspace Learning applied for Background Modeling and Subtraction
Andrews Cordolino Sobral
•
9 years ago
Robust Low-rank and Sparse Decomposition for Moving Object Detection
Andrews Cordolino Sobral
•
5 years ago
Tensor Train decomposition in machine learning
Alexander Novikov
•
8 years ago
Introduction to Point Based Global Illumination (PBGI)
karstenda
•
12 years ago
Tags
k-svd
cache-oblivious
loser-tree
radixsort
cache-aware
quadric-error metric
volume conservation
needlets
overcomplete dictionaries
spherical designs
frames
tight frames
batchomp
omp
overcomplete dictionary
online learning
dictionary learning
sparsity methods
linear blend skinning. animation compression. weig
skinning
lfg
lcg
crypto-hash
leapfrogging
tea
parallel random numbers
nlm
patchmatch
message-passing
crf
See more