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PCM
2005
Springer
106views Multimedia» more  PCM 2005»
13 years 10 months ago
Automated Detection of Tumors in Mammograms Using Two Segments for Classification
A spread pattern of a tumor in medical images is an important factor for classification of the tumor. The spread pattern is generally not considered when we use only one segment fo...
Mahmoud R. Hejazi, Yo-Sung Ho
EMNLP
2004
13 years 6 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
NIPS
2001
13 years 6 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
CVPR
2008
IEEE
14 years 7 months ago
Combining brain computer interfaces with vision for object categorization
Human-aided computing proposes using information measured directly from the human brain in order to perform useful tasks. In this paper, we extend this idea by fusing computer vis...
Ashish Kapoor, Pradeep Shenoy, Desney S. Tan
IAJIT
2007
104views more  IAJIT 2007»
13 years 4 months ago
A Learning-Classification Based Approach for Word Prediction
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
Hisham Al-Mubaid