1956 search results - page 171 / 392 » Learning the Relative Importance of Features in Image Data |
130
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
141
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PKDD
2005
Springer
15 years 9 months ago
2005
Springer
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
161
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations of point-based object fe...
122
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PERVASIVE
2008
Springer
15 years 4 months ago
2008
Springer
Abstract. People-centric sensor-based applications targeting mobile device users offer enormous potential. However, learning inference models in this setting is hampered by the lac...
154
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TIP
2008
15 years 3 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...