This paper presents the experimental evaluation of Gabor filter and Zernike moments for extracting the face features. The dimensionality of the input image is reduced for the overloading process of Gabor filters. 40 sub-images were obtained from the original images by using the Gabor filters in 5 scales and 8 orientations. From each sub-image, four Zernike features were extracted. Thus, the tot...

Image retrieval is a method to retrieve digital images. Now these days retrieving images from large collection of database according to specific criterion is an important task. An important criterion is the retrieval of images based on specific camera. This research paper focus on a well established fingerprint matching technique to link pictures to the specific camera that acquired them and fo...

The problem of context recognition from mobile audio data is considered. We consider ten different audio contexts (such as car, bus, office and outdoors) prevalent in daily life situations. We choose mel-frequency cepstral coefficient (MFCC) parametrization and present an extensive comparison of six different classifiers: knearest neighbor (kNN), vector quantization (VQ), Gaussian mixture model...

In modern human computer interaction systems (HCI), emotion recognition is becoming an imperative characteristic. The quest for effective and reliable emotion recognition in HCI has resulted in a need for better face detection, feature extraction and classification. In this paper we present results of feature space analysis after briefly explaining our fully automatic vision based emotion recog...

All the existing multi-task local learning methods are defined on homogeneous neighborhood which consists of all data points from only one task. In this paper, different from existing methods, we propose local learning methods for multitask classification and regression problems based on heterogeneous neighborhood which is defined on data points from all tasks. Specifically, we extend the knear...

Classification phase is one of the most active research and application areas of speech recognition. The literature is vast and growing. This paper summarizes the some of the most important developments in the classification procedures of the speech recognition applications. The state of art of the classification technique has also been presented in this paper. Different classification techniqu...

A realistic appearance-based representation to discriminate gender from side view gait sequence is introduced here. This gait representation is based on simple features such as moments extracted from orthogonal view video silhouettes of human walking motion. The silhouette image is divided into two regions. The first region includes from the head to the torso region whereas the second region is...

In this paper we address the problem of active query selection for clustering with constraints. The objective is to determine automatically a set of user queries to define a set of must-link or cannot-link constraints. Some works on active constraint learning have already been proposed but they are mainly applied to K-Means like clustering algorithms which are known to be limited to spherical c...

In classification, when the distribution of the training data among classes is uneven, the learning algorithm is generally dominated by the feature of the majority classes. The features in the minority classes are normally difficult to be fully recognized. In this paper, a method is proposed to enhance the classification accuracy for the minority classes. The proposed method combines Synthetic ...

In this paper comparison is done between k-nearest neighbor and naïve basin classifier based on the subset of features. Sequential feature selection method is used to establish the subsets. Four categories of subsets are used like life and medical transcripts, arts and humanities transcripts, social science transcripts, physical science transcripts to show the experimental results to classify d...