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ICPR
2010
IEEE
14 years 9 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
PCM
2005
Springer
106views Multimedia» more  PCM 2005»
15 years 5 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
CIARP
2009
Springer
15 years 3 months ago
Pigmented Skin Lesions Classification Using Dermatoscopic Images
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...
Germán Capdehourat, Andrés Corez, An...
ICASSP
2011
IEEE
14 years 3 months ago
Role of nucleus based context in word-independent syllable stress classification
An acoustic-phonetics based word-independent technique which uses syllable context for classifying the lexical syllable stress of spoken English words is presented. Nucleus based ...
Harish Doddala, Om Deshmukh, Ashish Verma
ACCV
2010
Springer
14 years 6 months ago
Indoor Scene Classification Using Combined 3D and Gist Features
Abstract. Scene categorization is an important mechanism for providing high-level context which can guide methods for a more detailed analysis of scenes. State-of-the-art technique...
Agnes Swadzba, Sven Wachsmuth