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» Learning the Relative Importance of Features in Image Data
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144
Voted
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
16 years 4 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
140
Voted
AAAI
2006
15 years 5 months ago
Learning Partially Observable Action Schemas
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
Dafna Shahaf, Eyal Amir
133
Voted
ICIP
2001
IEEE
16 years 5 months ago
Generation of semantic cues for sports video annotation
The use of video and audio features for automated annotation of audio-visual data is becoming widespread. A major limitation of many of the current methods is that the stored inde...
Kieron Messer, Josef Kittler, Barbara Levienaise-O...
162
Voted
TIP
2002
179views more  TIP 2002»
15 years 3 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
108
Voted
SIGGRAPH
1994
ACM
15 years 7 months ago
Animating images with drawings
The work described here extends the power of 2D animation with a form of texture mapping conveniently controlled by line drawings. By tracing points, line segments, spline curves,...
Peter Litwinowicz, Lance Williams