International Conference on Advances in Pattern Recognition

PLENARY SESSIONS: Looking for awareness in the brain - J Taylor. Pattern classification: Fusion of information - J Kittler. Database retrieval oriented approach for model-based object recognition - G Sudhir & B Bhanu.- IMAGE PROCESSING: Combined feature sets for texture classification - L Ng, M Nixon & J Carter. Using CBR learning for the low-level and high-level unit of an image interpretation system - P Perner. Application of the trace transform to change detection - A Kadyrov & M Petrou. Using natural language and video data to query and learn American Football plays - M Lazarescu, S Venkatesh, G West & T Caelli. Invariant content-based image retrieval using the Fourier-Mellin transform - R Milanese, M Cherbuliez & T Pun. Performance assessment of edge-based range image segmentation - X Jiang & H Bunke. Image variability decomposition for recovering pose and illumination from object tracking - P Belhumeur & G Hager. On increasing the objectiveness of segmentation results - P Zingaretti & A Carbonaro. Color-based moment invariants for viewpoint and illumination independent recognition of planar color patterns - F Mindru, T Moons & L Van Gool.- MEDICAL ANALYSIS: Error and shape measurement tools for cardiac projection images: A closer look - J Suri. Recent advances towards a model-based pattern-recognition approach for the left ventricle boundary estimation - J Suri, R Haralick & F Sheehan. An approach to dynamic modelling and topographic feature extraction of Wake EEG - D Lowe. Algorithms for fuzzy segmentation - B Carvalho, C Gau, G Herman and T Kong. NEURAL AND EVOLUTIONARY COMPUTING: Unsupervised learning without overfitting: Empirical risk approximation as an induction principle for reliable clustering - J Buhmann & M Held. Application of neural networks to vehicle recognition and tracking - P Dainty, J Boyce, C Dimitropoulos, P Edmundson, D Toulson & M Bernhardt. An artificial neural network encoding an invariant Sammon map for real-time projection of patterns from odour sensor arrays - K Persaud & H Byun. Probabalistic and other neural nets in multi-hole probe calibration and flow angularity pattern recognition - S Baskaran, N Ramachandran & D Noever. Beyond PaRADISE: Extensions to a neural network for visual object recognition - I France & A Duller. Parallel decomposition of generic morphological structuring elements - A Broggi & A Fascioli. Neural learning of spiral structures - S Singh. Ranking pattern recognition features for neural networks - W Wang, P Jones & D Partridge.- SPEECH RECOGNITION: A hybrid approach to pattern matching for text-to-speech conversion - C Tan, Y Chen & P Wu. Robust speech recognition using fuzzy matrix/vector quantisation, neural networks and hidden Markov models - L Cong & S Ashgar. An experimental study on confidence measures for robust speech recognition - Li Jiang & X Huang. Refinement of a structured language model - C Chelba & F Jelinek.- DOCUMENT AND CHARACTER ANALYSIS: An adaptative pre-processing for on-line hand-written character recognition by blind people - R de Saint Moulin, J Legat & Y Deville. Categorizing document images into script and language classes - C Suen, S Bergler, B Waked, N Nobile, C Nadal & A Bloch. Table recognition and labelling using intrinsic layout features - T Kieninger & A Dengel. Recognition of printed Arabic text via machine learning - A Amin. A deterministic algorithm for reconstructing off-line calligraphical strokes with priority rules - D Hung & J Cheng. Off-line handwritten Chinese character recognition based on structural features and fuzzy ARTMAP - N Murshed, A Amin & S Singh. Agent-based text extraction from pyramid images - C Tan, B Yuan & C Ang.- PATTERN RECOGNITION: Vector quantization and minimum description length - H Bischof & A Leonardis. Localized soft subspace pattern classification - T Balachander & R Kothari. A quantum leap to advances in pattern recognition - P Marcer. A comparative study of string dissimilarity measures in structural clustering - A Fred & J Leitao. Support vector machines and linear spectral unmixing for remote sensing - M Brown & H Lewis. Why classical models for pattern recognition are not pattern recognition models - L Goldfarb & J Hook. Pattern discovery in time-orientated data - M Saraee, G Koundouakis & B Theodoulidis. Adaptive graphical pattern recognition: The joint role of structure and learning - M Diligenti, M Gori, M Maggini & E Martinelli.- TUTORIALS: Classification using networks of Normalized radial basis function - G Bugmann. Pattern recognition - A pillar in the sensor fusion edifice or vice-versa? - B Dasarathy.