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IVC
2008
69views more  IVC 2008»
14 years 9 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
SAIG
2000
Springer
15 years 1 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
SOFTWARE
2002
14 years 9 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
DAGM
2007
Springer
15 years 4 months ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
EDM
2010
133views Data Mining» more  EDM 2010»
14 years 11 months ago
Process Mining to Support Students' Collaborative Writing
Writing, particularly collaborative writing is a commonly needed skill. Investigating how ideas and concepts are developed during the process of writing can be used to improve not ...
Vilaythong Southavilay, Kalina Yacef, Rafael A. Ca...