iansimon's learning [8 articles] Export

Recent papers added to iansimon's library classified by the tag learning. You can also see everyone's learning.

	A Spectral Algorithm for Learning Hidden Markov Models [My Copy] (27 Nov 2008) by Daniel Hsu, Sham M. Kakade, Tong Zhang posted to clustering hmm learning spectral unsupervised by iansimon on 2009-07-27 19:57:23 as along with 1 person pdlug
	Support vector machines for 3D shape processing. Eurographics [My Copy] In Computer Graphics forum, Vol. 24, No. 3. (2005) by F. Steinke, B. Schölkopf, V. Blanz posted to classification geometry learning shape vision by iansimon on 2009-03-31 23:41:58 as
	A Model for Learning the Semantics of Pictures [My Copy] by V. Lavrenko, R. Manmatha, J. Jeon posted to generals learning probability semantics vision by iansimon on 2008-08-02 06:39:54 as along with 1 person dongnl
	Effective automatic image annotation via a coherent language model and active learning [My Copy] In MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on Multimedia (2004), pp. 892-899. by Rong Jin, Joyce Y. Chai, Luo Si posted to annotation generals learning text vision by iansimon on 2008-08-02 06:32:19 as along with 1 person Mohan-S
	Statistical Models for Co-occurrence Data [My Copy] No. AIM-1625. (1998) by Thomas Hofmann, Jan Puzicha posted to generals learning multimodal probability unsupervised by iansimon on 2008-07-29 08:45:42 as along with 1 person menjo
	Unsupervised statistical learning in vision: computational principles, biological evidence [My Copy] In ECCV Workshop on Statistical Learning in Computer Vision (2004) by Shimon Edelman, Nathan Intrator posted to learning neuroscience statistics unsupervised vision by iansimon on 2008-05-08 00:04:14 as
	Keywords to Visual Categories: Multiple-Instance Learning for Weakly Supervised Object Categorization [My Copy] In CVPR (2008) by Sudheendra Vijayanarasimhan, Kristen Grauman posted to categorization generals learning search tagging vision by iansimon on 2008-05-05 22:37:10 as
	On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes [My Copy] (2002) by A. Ng, M. Jordan posted to classification discriminative generative learning probability by iansimon on 2008-04-21 18:24:49 as along with 5 people ezralanglois j3xucite ecome 223rem kohei-h

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generals	110
vision	87
annotation	38
recognition	28
tagging	26
sceneseg	22
semantics	22
segmentation	20
flickr	19
probability	18
hulls	17
collaboration	16
multimodal	16
retrieval	16
features	14
canonical	13
clustering	13
stereo	13
augmentedreality	11
text	11
search	10
hci	9
summarization	9
geometry	8
graphics	8
learning	8
indexing	6
ontology	6
charge	5
classification	5
datasets	5
images	5
matching	5
meshes	5
shape	5
unsupervised	5
browsing	4
collage	4
drawing	4
geotags	4
volumetric	4
wikipedia	4
alipr	3
categorization	3
dirichlet	3
ransac	3
hmm	2
modeling	2
optimization	2
perception	2
photos	2
pyramid	2
sceneflow	2
surfaces	2
tracking	2
trust	2
video	2
voxels	2
berkeley	1
blobworld	1
communication	1
completion	1
crowds	1
databases	1
discriminative	1
editing	1
em	1
embedding	1
espgame	1
evaluation	1
events	1
extraction	1
faces	1
fotofile	1
gaussian	1
generative	1
geolocation	1
gist	1
gps	1
grabcut	1
greedy	1
hashing	1
history	1
interaction	1
labeling	1
labelme	1
language	1
laplacian	1
linguistics	1
logic	1
lsh	1
mapping	1
matting	1
maxflow	1
mincut	1
mlesac	1
nearestneighbor	1
neuroscience	1
octrees	1
pagerank	1
painting	1
peekaboom	1
provenance	1
relevance	1
roxels	1
sift	1
snakes	1
spectral	1
statistics	1
survey	1
texture	1
theory	1
tinyimages	1
torralba	1
translation	1
virtualreality	1
wordnet	1

iansimon's learning [8 articles] Export

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