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» Induction in Noisy Domains
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SIGIR
2004
ACM
15 years 5 months ago
Probabilistic model for contextual retrieval
Contextual retrieval is a critical technique for facilitating many important applications such as mobile search, personalized search, PC troubleshooting, etc. Despite of its impor...
Ji-Rong Wen, Ni Lao, Wei-Ying Ma
ICCBR
2003
Springer
15 years 5 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
ECCV
2010
Springer
15 years 4 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
AIME
2001
Springer
15 years 4 months ago
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread
Abstract. Cancer spread is a non-deterministic dynamic process. As a consequence, the design of an assistant system for the diagnosis and prognosis of the extent of a cancer should...
Severino F. Galán, Francisco Aguado, Franci...
AVBPA
2001
Springer
146views Biometrics» more  AVBPA 2001»
15 years 4 months ago
Information Fusion in Biometrics
User verification systems that use a single biometric indicator often have to contend with noisy sensor data, restricted degrees of freedom, non-universality of the biometric tra...
Arun Ross, Anil K. Jain, Jian Zhong Qian