The Content-Based Image Retrieval application uses large amount of low-level features of images for retrieving relevant images. Numerous low-level features are used for retrieval and among them the shape based feature is important and can be represented in the form of histogram. It is well known that the low-level feature requires more storage space and thus entire content has to be coded, inde...

Packet−based fidelity scalability (PFS) is a desirable feature in many video coding or transmission applications. Any realization of PFS in a hybrid video coding approach, however, requires suitable concepts for controlling drift and for generating sufficiently small increments in bit rate in order to allow progressive refinements of perceptual quality relative to a given base layer quality. Th...

A main distinguishing feature of a wireless network compared with a wired network is its broadcast nature, in which the signal transmitted by a node may reach several other nodes, and a node may receive signals from several other nodes simultaneously. Rather than a blessing, this feature is treated more as an interference-inducing nuisance in most wireless networks today (e.g., IEEE 802.11). Th...

Scene-level geographic image classification has been a very challenging problem and has become a research focus in recent years. This paper develops a supervised collaborative kernel coding method based on a covariance descriptor (covd) for scene-level geographic image classification. First, covd is introduced in the feature extraction process and, then, is transformed to a Euclidean feature by...

A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are employed in well-known stochastic classifiers, including nearest-neighborhood, single Gaussian and a Gaussian mixture with EM optimization. Classifiers’ performances are evaluated by using cross-validation and bootst...

Recent research and modeling proposes that a closed shape is accurately described by both the curvature and angular location of its parts relative to the shape center, implying that the shape is coded along with its overall orientation. We tested this proposition. Radial frequency (RF) patterns were employed as stimuli as they can represent a range of familiar closed shapes and are processed gl...

Protein coding regions prediction is a very important but overlooked subtask for tasks such as of complete gene structure, coding/noncoding RNA. Many machine learning methods have been proposed this problem, they first encode biological sequence into numerical values and then feed them classifier final prediction. However, encoding schemes directly influence the classifier's capability to captu...

This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. The feature extraction module adopts the gradient directions (i.e., angles) on wavelet transform as the discriminating texture features. The identification system encodes the fea...

The n-gram model has been widely used to capture the local ordering of words, yet its exploding feature space often causes an estimation issue. This paper presents local context sparse coding (LCSC), a non-probabilistic topic model that effectively handles large feature spaces using sparse coding. In addition, it introduces a new concept of locality, local contexts, which provides a representat...