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» Mining from Large Image Sets
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ICIP
2010
IEEE
15 years 4 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 6 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
AMFG
2007
IEEE
327views Biometrics» more  AMFG 2007»
16 years 21 days ago
Model-Assisted 3D Face Reconstruction from Video
Abstract. This paper describes a model-assisted system for reconstruction of 3D faces from a single consumer quality camera using a structure from motion approach. Typical multi-vi...
Douglas Fidaleo, Gérard G. Medioni
ICB
2007
Springer
156views Biometrics» more  ICB 2007»
16 years 15 days ago
Robust Extraction of Secret Bits from Minutiae
Abstract. Our goal is to extract consistent bits from the same fingerprint in a noisy environment. Such bits can then be used as a secret key in several cryptographic applications...
Ee-Chien Chang, Sujoy Roy
ICIP
2000
IEEE
16 years 8 months ago
Joint Space-Frequency Segmentation, Entropy Coding and the Compression of Ultrasound Images
Joint space-frequency segmentation is a relatively new image compression technique that finds the rate-distortion optimal representation of an image from a large set of possible s...
Ed Chiu, Jacques Vaisey, M. Stella Atkins