scispace - formally typeset
Search or ask a question

Showing papers in "Pattern Recognition in 2007"


Journal ArticleDOI
TL;DR: Experiments on three different real-world multi-label learning problems, i.e. Yeast gene functional analysis, natural scene classification and automatic web page categorization, show that ML-KNN achieves superior performance to some well-established multi- label learning algorithms.

2,832 citations


Journal ArticleDOI
TL;DR: This paper attempts to provide a comprehensive survey of the recent technical achievements in high-level semantic-based image retrieval, identifying five major categories of the state-of-the-art techniques in narrowing down the 'semantic gap'.

1,713 citations


Journal ArticleDOI
TL;DR: Three cost-sensitive boosting algorithms are developed by introducing cost items into the learning framework of AdaBoost, which show that one of the proposed algorithms tallies with the stagewise additive modelling in statistics to minimize the cost exponential loss.

1,331 citations


Journal ArticleDOI
TL;DR: By incorporating local spatial and gray information together, a novel fast and robust FCM framework for image segmentation, i.e., fast generalized fuzzy c-means (FGFCM) clustering algorithms, is proposed and can mitigate the disadvantages of FCM_S and at the same time enhances the clustering performance.

1,021 citations


Journal ArticleDOI
TL;DR: A critical up-to-date review of the various skin modeling and classification strategies based on color information in the visual spectrum and presents various approaches that use skin-color constancy and dynamic adaptation techniques to improve the skin detection performance in dynamically changing illumination and environmental conditions.

996 citations


Journal ArticleDOI
TL;DR: This study introduces and investigates the use of kernel PCA for novelty detection and demonstrated a competitive performance on two-dimensional synthetic distributions and on two real-world data sets: handwritten digits and breast-cancer cytology.

727 citations


Journal ArticleDOI
TL;DR: A simple and efficient hybrid attribute reduction algorithm based on a generalized fuzzy-rough model based on fuzzy relations is introduced and the technique of variable precision fuzzy inclusion in computing decision positive region can get the optimal classification performance.

390 citations


Journal ArticleDOI
TL;DR: A new approach for fingerprint enhancement based on short time Fourier transform (STFT) Analysis is introduced and the algorithm simultaneously estimates all the intrinsic properties of the fingerprints such as the foreground region mask, local ridge orientation and local ridge frequency.

381 citations


Journal ArticleDOI
TL;DR: This study proposes a novel Markov blanket-embedded genetic algorithm (MBEGA) for gene selection problem that gives a best compromise among all four evaluation criteria, i.e., classification accuracy, number of selected genes, computational cost, and robustness.

377 citations


Journal ArticleDOI
TL;DR: A trainable feature extractor based on the LeNet5 convolutional neural network architecture is introduced to solve the first problem in a black box scheme without prior knowledge on the data and the results show that the system can outperform both SVMs and Le net5 while providing performances comparable to the best performance on this database.

306 citations


Journal ArticleDOI
TL;DR: This paper evaluates six different neural network system architectures for multi-class pattern classification along the dimensions of imbalanced data, large number of pattern classes, large vs. small training data through experiments conducted on well-known benchmark data.

Journal ArticleDOI
TL;DR: A shape retrieval method using triangle-area representation for nonrigid shapes with closed contours that is effective in capturing both local and global characteristics of a shape, invariant to translation, rotation, and scaling, and robust against noise and moderate amounts of occlusion.

Journal ArticleDOI
TL;DR: A novel algorithm for image feature extraction, namely, the two-dimensional locality preserving projections (2DLPP), which directly extracts the proper features from image matrices based on locality preserving criterion is proposed.

Journal ArticleDOI
TL;DR: A comprehensive review of the proposed multivariate morphological frameworks is provided and they are examined mainly with respect to their data ordering methodologies.

Journal ArticleDOI
TL;DR: This paper designs algorithms by using random grids to accomplish the encryption of the secret gray-level and color images in such a way that neither of the two encrypted shares alone leaks the information of thesecret image, whereas the secret can be seen when these two shares are superimposed.

Journal ArticleDOI
TL;DR: This paper introduces some ideas to improve the base BioHashing approach in order to maintain a very low equal error rate when nobody steals the Hash key, and to reach good performance also when an ''impostor'' steals theHash key.

Journal ArticleDOI
TL;DR: A novel method for cross-validation (CV) of LS-SVM or KRR is proposed in which instead of solving l linear systems of dimension (n-m), the inverse of an n dimensional square matrix is computed and solved to reduce the complexity when l is large and/or m is small.

Journal ArticleDOI
TL;DR: Experimental results reveal that the first proposed combination of VQ and DTW (by means of score fusion) outperforms the other algorithms and achieves a minimum detection cost function (DCF) value equal to 1.37% for random forgeries and 5.42% for skilled forgeries.

Journal ArticleDOI
TL;DR: The proposed mean shift embedded particle filter (MSEPF) improves the sampling efficiency considerably and produces reliable tracking while effectively handling rapid motion and distraction with roughly 85% fewer particles.

Journal ArticleDOI
TL;DR: A probabilistic (2,n) scheme for binary images and a deterministic (n,n), which provides a better contrast and significantly smaller recognized areas than other methods and gives an exact reconstruction.

Journal ArticleDOI
TL;DR: A novel parametric and global image histogram thresholding method based on the estimation of the statistical parameters of ''object'' and ''background'' classes by the expectation-maximization (EM) algorithm, under the assumption that these two classes follow a generalized Gaussian (GG) distribution.

Journal ArticleDOI
TL;DR: The overall aim of this work is to investigate the effects of Gabor filter parameters on texture classification, and the outcomes of the experimental activity show a significant dependence of the percentage of correct classification on the smoothing parameter of the Gabor filters.

Journal ArticleDOI
TL;DR: This work presents a new contrast enhancing color to grayscale conversion algorithm which works in real-time and has the advantages of continuous mapping, global consistency, andgrayscale preservation, as well as predictable luminance, saturation, and hue ordering properties.

Journal ArticleDOI
TL;DR: The extensive experimental results demonstrate that the proposed approach produces interpretable fuzzy systems, and outperforms other classifiers and wrappers by providing the highest detection accuracy for intrusion attacks and low false alarm rate for normal network traffic with minimized number of features.

Journal ArticleDOI
TL;DR: This paper proposes a visual secret sharing scheme that encodes a set of x≥2 secrets into two circle shares such that none of any single share leaks the secrets and the x secrets can be obtained one by one by stacking the first share and the rotated second shares with x different rotation angles.

Journal ArticleDOI
TL;DR: A neural classifier is applied to recognize the eyes in the image, selecting two candidate regions that might contain the eyes by using iris geometrical information and symmetry and the algorithm correctly reveals the absence of eyes when applied to images where people have eyes closed.

Journal ArticleDOI
TL;DR: The proposed method is extended to detect the cup boundary and then extract the disk parameters for clinical application, which is a relatively new task in fundus image processing.

Journal ArticleDOI
TL;DR: Two algorithms for handwritten digit classification based on the higher order singular value decomposition (HOSVD) are presented and it is shown that the second algorithm is twice as efficient as the first one.

Journal ArticleDOI
TL;DR: It is concluded that one should not put much faith in a validity score unless there is evidence, either in terms of sufficient data for model estimation or prior model knowledge, that a validity measure is well-correlated to the error rate of the clustering algorithm.

Journal ArticleDOI
TL;DR: In this work, a new approach to describe textural information in terms of redundant systems of functions is suggested, designed to be unaffected by scene type, background type or light conditions.