127 Result(s)
within
English
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
Pattern Recognition
**u Tao
Chapter
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Chapter and Conference Paper
MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016
Emotion recognition is a significant research filed of pattern recognition and artificial intelligence. The Multimodal Emotion Recognition Challenge (MEC) is a part of the 2016 Chinese Conference on Pattern Re...
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Chapter and Conference Paper
The Usability of Metadata for Android Application Analysis
The number of security incidents faced by Android users is growing, along with the surge in malware targeting Android terminals. Such malware arrives at the Android terminals in the form of Android Packages (A...
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Chapter and Conference Paper
Transfer Learning of Deep Neural Network for Speech Emotion Recognition
Deep learning has made great impact in several areas, where large size dataset usually plays a great role in its effect. As emotion recognition task usually lacks in labelled data, transfer learning is propose...
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Chapter and Conference Paper
Incremental Robust Nonnegative Matrix Factorization for Object Tracking
Nonnegative Matrix Factorization (NMF) has received considerable attention in visual tracking. However noises and outliers are not tackled well due to Frobenius norm in NMF’s objective function. To address thi...
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Chapter and Conference Paper
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI
For both visual analysis and computer assisted diagnosis systems in breast MRI reading, the delineation and diagnosis of ductal carcinoma in situ (DCIS) is among the most challenging tasks. Recent studies show...
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Chapter and Conference Paper
Perceptual Loss with Fully Convolutional for Image Residual Denoising
In this paper we propose a fully convolutional encoder-decoder framework for image residual transformation tasks. Instead of only using per-pixel loss function, the proposed framework learn end-to-end map** ...
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Chapter and Conference Paper
Recurrent Neural Network Based Language Model Adaptation for Accent Mandarin Speech
In this paper, we propose to adapt the recurrent neural network (RNN) based language model to improve the performance of multi-accent Mandarin speech recognition. N-gram based language model can be easily appl...
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Chapter and Conference Paper
Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm
This paper proposes a multi-codebook important time subsequence approximation (MCITSA) algorithm for time series classification. MCITSA generates a codebook using important time subsequences for each class bas...
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Chapter and Conference Paper
Learning a Discriminative Dictionary with CNN for Image Classification
In this paper, we propose a novel framework for image recognition based on an extended sparse model. First, inspired by the impressive results of CNN over different tasks in computer vision, we use the CNN mod...
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Chapter and Conference Paper
Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions
It is well known that super-resolution (SR) is a difficult problem, especially the single-frame super-resolution (SFSR). In this paper, we propose a novel SFSR method, called compressive sampling on hybrid rec...
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Chapter and Conference Paper
Matrix-Completion-Based Method for Cold-Start of Distributed Recommender Systems
Recommender systems has been wildly used in many websites. These perform much better on users for which they have more information. Satisfying the needs of users new to a system has become an important problem...
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Chapter and Conference Paper
Fine-Grained Risk Level Quantication Schemes Based on APK Metadata
The number of security incidents faced by Android users is growing, along with a surge in malware targeting Android terminals. Such malware arrives at the Android terminals in the form of Android Packages (APK...
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Chapter and Conference Paper
A Self-adaption Fusion Algorithm of PET/CT Based on DTCWT and Combination Membership Function
Multi-modality medical image fusion have great value for image analysis and clinical diagnosis, it can enrich medical image information and improve information accuracy by fusing PET/CT medical images. A self-...
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Chapter and Conference Paper
Adaptive DDoS-Event Detection from Big Darknet Traffic Data
This paper presents an adaptive large-scale monitoring system to detect Distributed Denial of Service (DDoS) attacks whose backscatter packets are observed on the darknet (i.e., unused IP space). To classify D...
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Chapter and Conference Paper
Tuning Sparsity for Face Hallucination Representation
Due to the under-sparsity or over-sparsity, the widely used regularization methods, such as ridge regression and sparse representation, lead to poor hallucination performance in the presence of noise. In addit...
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Chapter and Conference Paper
Graph Cuts Based Moving Object Detection for Aerial Video
With the wide development of UAV technology, moving target detection for aerial video has become a hot research topic in the computer vision. Most existing methods are under the registration-detection framewor...
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Chapter and Conference Paper
Abnormal Crowd Motion Detection Using Double Sparse Representations
Sparse representation method has been well used in image analysis, restoration and recognition, and it has also been introduced to analysis of video crowd movements recent years. To improve its accuracy of det...
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Chapter and Conference Paper
A Novel \(\ell ^1\) -graph Based Image Classification Algorithm
In original sparse representation based classification algorithms, each training sample belongs to exactly one class, neglecting the association between the training sample and the other classes. However, diff...
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Chapter and Conference Paper
Point Sets Matching by Feature-Aware Mixture Point Matching Algorithm
In this article we propose a new method to find matches between two images, which is based on a framework similar to the Mixture Point Matching (MPM) algorithm. The main contribution is that both feature and s...
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Chapter and Conference Paper
A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation
Cervical cancer is one of the most common types of cancer in women worldwide. Most deaths of cervical cancer occur in less developed areas of the world. In this work, we introduce a new image dataset along wit...
