![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These conditions can be directly derived from the ...
-
Chapter and Conference Paper
Global Convergence of Steepest Descent for Quadratic Functions
This paper analyzes the effect of momentum on steepest descent training for quadratic performance functions. Some global convergence conditions of the steepest descent algorithm are obtained by directly analyz...
-
Chapter and Conference Paper
Stability Analysis of Discrete-Time Cellular Neural Networks
Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison met...
-
Chapter and Conference Paper
An Emotion Space Model for Recognition of Emotions in Spoken Chinese
This paper presents a conception of emotion space modeling using psychological research for reference. Based on this conception, this paper studies the distribution of the seven emotions in spoken Chinese, inc...
-
Chapter and Conference Paper
Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays
For the convenience of computer simulation, the discrete-time systems in practice are often considered. In this paper, Discrete-time cellular neural networks (DTCNNs) are formulated and studied in a regime whe...
-
Chapter and Conference Paper
An Approach to Affective-Tone Modeling for Mandarin
Mandarin is a typical tone language in which a syllable possesses several tone types. While these tone types have rather clear manifestations in the fundamental frequency contour (F 0 cont...
-
Article
Global Stability of a General Class of Discrete-Time Recurrent Neural Networks
A general class of discrete-time recurrent neural networks (DTRNNs) is formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTRNNs with delays base...
-
Chapter and Conference Paper
Design and Simulations of a Virtual Fishlike Robot Actuated by a Muscle Model
Motivated by trying a new top-down research mode of the study of fish-like robot related problems, we use a Chinese sturgeon (Acipenser sinensis) as the base model and rebuild the structures and functions of its ...
-
Article
Deterministic Landslide Risk Assessment at a Past Landslide Site
The slope failure and landslide hazard will possess the same properties within a range including the same engineering geological conditions. To assess the landslide risk of a mountainous area, the study of lan...
-
Chapter and Conference Paper
A Robust Algorithm for Color Correction between Two Stereo Images
Most multi-camera vision applications assume a single common color response for all cameras. However, significant luminance and chrominance discrepancies among different camera views often exist due to the dis...
-
Chapter and Conference Paper
A Subjective Method for Image Segmentation Evaluation
Image segmentation is an important processing step in many image understanding algorithms and practical vision systems. Various image segmentation algorithms have been proposed and most of them claim their sup...
-
Chapter and Conference Paper
A Close-Form Iterative Algorithm for Depth Inferring from a Single Image
Inferring depth from a single image is a difficult task in computer vision, which needs to utilize adequate monocular cues contained in the image. Inspired by Saxena et al’s work, this paper presents a close-f...
-
Chapter and Conference Paper
Semi-automatic Flickr Group Suggestion
Flickr groups are self-organized communities to share photos and conversations with common interest and have gained massive popularity. Users in Flickr have to manually assign each image to the appropriated gr...
-
Chapter and Conference Paper
2D/3D Model-Based Facial Video Coding/Decoding at Ultra-Low Bit-Rate
For facial video coding/decoding in mobile communication, a 2D/3D model-based system was proposed: (1)Online appearance model and cylinder head model were combined to track 3D facial motion in particle filter;...
-
Chapter and Conference Paper
Application of HMM to Online Signature Verification Based on Segment Differences
In this paper, a novel application of Hidden Markov Model (HMM) to online signature verification is proposed, this application utilizes segment difference values obtained by segmentation Dynamic Time War** (...
-
Chapter and Conference Paper
A New Closed Loop Method of Super-Resolution for Multi-view Images
In this paper, we propose a closed loop method to resolve the multi-view super-resolution problems. Given that the input is one high-resolution view along with its neighboring low-resolution views, our method ...
-
Chapter and Conference Paper
Medical Image Fusion by Combining Nonsubsampled Contourlet Transform and Sparse Representation
In this paper, we present a novel medical image fusion method by taking the complementary advantages of two powerful image representation theories: nonsubsampled contourlet transform (NSCT) and sparse represen...
-
Chapter and Conference Paper
A Static Hand Gesture Recognition Algorithm Based on Krawtchouk Moments
Owing to convenience and naturalness, hand gesture recognition has been widely used in various human-computer interaction (HCI) systems. In this paper, we address the problem from the perspective of system, an...
-
Article
3D facial motion tracking by combining online appearance model and cylinder head model in particle filtering
A 3D facial motion tracking approach has been proposed based on the incorporation of online appearance model (OAM) and cylinder head model (CHM) in the framework of particle filtering. 1) For the construction ...
-
Article
A new closed loop method of super-resolution for multi-view images
In this paper, we propose a closed loop method to resolve the multi-view super-resolution problem. For the mixed-resolution multi-view case, where the input is one high-resolution view along with its neighbori...