BACKGROUND AND AIMS Genomewide expression profiling has identified a number of genes expressed at higher levels in colorectal cancer (CRC) than in normal tissues. Our objectives in this study were: 1) to test whether genes were also distinct on the protein level; 2) to evaluate these biomarkers in a series of well-characterized CRCs; and 3) to apply hierarchical cluster analysis to the immunohi...

BACKGROUND AND AIMS Recent cDNA expression profiling analyses indicate that within specific organ cancers Cytokeratins (CKs) dysregulation may identify subgroups with distinct biological phenotypes. Our objectives in this study were (1) to test whether cytokeratins were also distinct on the protein level, (2) to evaluate these biomarkers in a series of well-characterised CRCs, (3) to apply hier...

Recent computational advances have made it feasible to t hierarchical models in a wide range of serious applications. If one entertains a collection of such models for a given data set, the problems of model adequacy and model choice arise. We focus on the former. While model checking usually addresses the entire model speciication, model failures can occur at each hierarchical stage. Such fail...

In current magnetic resonance imaging (“MRI”) systems, low-field MRI has the advantage of low cost and open. The signal-to-noise ratio (“SNR”) obtained, however, is relatively low. This study thus aims at developing a Bayesian multi-stage hierarchical model with an outlier-detection ability, through the use of a heavy-tailed prior that can be used to reduce the effects of noise introduced. Sinc...

Kernel spectral clustering corresponds to a weighted kernel principal component analysis problem in a constrained optimization framework. The primal formulation leads to an eigen-decomposition of a centered Laplacian matrix at the dual level. The dual formulation allows to build a model on a representative subgraph of the large scale network in the training phase and the model parameters are es...

We present a real-time multiple human tracking system for a humanoid with a pair of microphones and a pair of cameras. The key idea for robust recognition and scalability of multi-modality is the hierarchical integration of multiple sensory information. First, sound direction by auditory localization module, speaker ID by spear identi cation module, face location, face ID, and object location b...

Image registration technique is fundamental and essential to the accurate and efficient analysis of protein sequence data. But due to the elastic deformations of two-dimensional gel protein eletrophoresis images, their registration still remains a challenge. In this paper, a hybrid 2D gel protein image registration method is proposed. In the first stage of registration, the wavelet-based hierar...

In this paper, we present a new bottom-up one-stage method for whole-body pose estimation, which call “hierarchical point regression,” or HPRNet short. standard body the locations of ~17 major joints on human are estimated. Differently, in fine-grained keypoints (68 face, 21 each hand and 3 foot) estimated as well, creates scale variance problem that needs to be addressed. To handle among diffe...

Abstract Purpose of this paper: The objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach to evaluate the most suitable RFID-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. Design/methodology/approach: R...