His primary areas of study are Artificial intelligence, Pattern recognition, Feature extraction, Speech recognition and Handwriting recognition. His work carried out in the field of Artificial intelligence brings together such families of science as Computer vision and Natural language processing. His Pattern recognition research incorporates themes from Artificial neural network and Normalization.
His research integrates issues of Feature, Feature, Image processing, Binary image and Contextual image classification in his study of Feature extraction. His Speech recognition study combines topics in areas such as Segmentation, Discriminative learning, Random subspace method, Character recognition and Pattern recognition. In his research on the topic of Handwriting recognition, Preprocessor, State and Pen computing is strongly related with Intelligent character recognition.
Cheng-Lin Liu focuses on Artificial intelligence, Pattern recognition, Feature extraction, Speech recognition and Handwriting recognition. His research in Artificial intelligence intersects with topics in Machine learning, Computer vision and Natural language processing. His work carried out in the field of Pattern recognition brings together such families of science as Contextual image classification and Artificial neural network.
The concepts of his Feature extraction study are interwoven with issues in Normalization, Feature, Conditional random field, Support vector machine and Feature vector. Cheng-Lin Liu combines subjects such as Character recognition, Recurrent neural network, Intelligent word recognition and Discriminative learning with his study of Speech recognition. His studies in Handwriting recognition integrate themes in fields like Language model, Chinese characters, Intelligent character recognition, Character and Hidden Markov model.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Convolutional neural network, Pattern recognition and Machine learning. His Artificial intelligence study incorporates themes from Graph, Computer vision and Natural language processing. Feature extraction is the focus of his Pattern recognition research.
Cheng-Lin Liu interconnects Algorithm and Word in the investigation of issues within Feature extraction. Cheng-Lin Liu studied Convolutional neural network and Computer engineering that intersect with Word error rate. His study in Machine learning is interdisciplinary in nature, drawing from both Data stream, Data point, Probabilistic logic and Inference.
Artificial intelligence, Text detection, Pattern recognition, Convolutional neural network and Robustness are his primary areas of study. His research ties Machine learning and Artificial intelligence together. His Text detection research includes elements of Categorization and Natural language processing.
His work on Tumor segmentation, Brain tumor segmentation and Image segmentation as part of general Pattern recognition research is often related to Data sampling and Modalities, thus linking different fields of science. His Convolutional neural network research is multidisciplinary, incorporating perspectives in Computer engineering and Word error rate. His Robustness study deals with Speech recognition intersecting with Constraint, Chinese characters, Character and Task.
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Action recognition by dense trajectories
Heng Wang;Alexander Klaser;Cordelia Schmid;Cheng-Lin Liu.
computer vision and pattern recognition (2011)
Dense Trajectories and Motion Boundary Descriptors for Action Recognition
Heng Wang;Alexander Kläser;Cordelia Schmid;Cheng-Lin Liu.
International Journal of Computer Vision (2013)
Handwritten digit recognition: benchmarking of state-of-the-art techniques
Cheng-Lin Liu;Kazuki Nakashima;Hiroshi Sako;Hiromichi Fujisawa.
Pattern Recognition (2003)
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
Xueyun Chen;Shiming Xiang;Cheng-Lin Liu;Chun-Hong Pan.
IEEE Geoscience and Remote Sensing Letters (2014)
Character Recognition Systems: A Guide for Students and Practitioners
Mohammed Cheriet;Nawwaf Kharma;Cheng-lin Liu;Ching Suen.
(2007)
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
Yi-Feng Pan;Xinwen Hou;Cheng-Lin Liu.
IEEE Transactions on Image Processing (2011)
'Online recognition of Chinese characters: the state-of-the-art
C.-L. Liu;S. Jaeger;M. Nakagawa.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)
Handwritten digit recognition: investigation of normalization and feature extraction techniques
Cheng-Lin Liu;Kazuki Nakashima;Hiroshi Sako;Hiromichi Fujisawa.
Pattern Recognition (2004)
CASIA Online and Offline Chinese Handwriting Databases
Cheng-Lin Liu;Fei Yin;Da-Han Wang;Qiu-Feng Wang.
international conference on document analysis and recognition (2011)
ICDAR 2011 Chinese Handwriting Recognition Competition
Cheng-Lin Liu;Fei Yin;Qiu-Feng Wang;Da-Han Wang.
international conference on document analysis and recognition (2011)
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