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» A Neural Model of Human Object Recognition Development
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CVPR
2012
IEEE
12 years 1 days ago
Detecting activities of daily living in first-person camera views
We present a novel dataset and novel algorithms for the problem of detecting activities of daily living (ADL) in firstperson camera views. We have collected a dataset of 1 millio...
Hamed Pirsiavash, Deva Ramanan
AAAI
2000
13 years 11 months ago
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
James A. Bednar, Risto Miikkulainen
PRL
2007
131views more  PRL 2007»
13 years 9 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classi...
Xiaodong He, Li Deng

Book
5396views
15 years 8 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
AUTOID
2005
IEEE
14 years 3 months ago
Statistical Models for Assessing the Individuality of Fingerprints
Following Daubert in 1993, forensic evidence based on fingerprints was first challenged in the 1999 case of USA vs. Byron Mitchell, and subsequently, in 20 other cases involving...
Sarat C. Dass, Yongfang Zhu, Anil K. Jain