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Bidirectional Convolutional LSTM for the Detection of Violence in Videos
2019The field of action recognition has gained tremendous traction in recent years. A subset of this, detection of violent activity in videos, is of great importance, particularly in unmanned surveillance or crowd footage videos. In this work, we explore this problem on three standard benchmarks widely used for violence detection: the Hockey Fights, Movies,
Alex Hanson 0002 +3 more
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Integrating Bidirectional LSTM with Inception for Text Classification
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017A novel neural network architecture, BLSTM-Inception v1, is proposed for text classification. It mainly consists of the BLSTM-Inception module, which has two parts, and a global max pooling layer. In the first part, forward and backward sequences of hidden states of BLSTM are concatenated as double channels, rather than added as single channel.
Wei Jiang, Zhong Jin
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Online News Emotion Prediction with Bidirectional LSTM
2016Recent years have brought a significant growth in the volume of user generated data. Sentiment analysis is a crucial tool in the mining of such data, which is of great value for both improving particular services and assisting organizations’ decision making process. Existing research focuses on identifying sentiment polarity on subjective text, such as
Xue Zhao 0001 +4 more
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Improvement of image description using bidirectional LSTM
International Journal of Multimedia Information Retrieval, 2018As a high-level technique, automatic image description combines linguistic and visual information in order to extract an appropriate caption for an image. In this paper, we have proposed a method based on a recurrent neural network to synthesize descriptions in multimodal space.
Vahid Chahkandi +2 more
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DECAB-LSTM: Deep Contextualized Attentional Bidirectional LSTM for cancer hallmark classification
Knowledge-Based Systems, 2020Abstract The great number of online scientific publications on cancer research makes large scale data mining possible. The hallmarks or characteristics of cancer can be used to distinguish cancerous cells from normal cells. Therefore, it is extremely necessary to organize and categorize a sea of scientific articles into the corresponding hallmarks by
Jiang L. +3 more
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Bidirectional LSTM for Automatic Punctuation Restoration
2016The output of generic automatic speech recognition systems consists of raw word sequences without any punctuation symbols. When sequences are longer, it is difficult for humans to read and understand them. Also, many natural language understanding and processing tools expect that input will contain punctuation.
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Sequence-Based Recommendation with Bidirectional LSTM Network
2018In modern recommendation systems, most methods often neglect the sequential relationship between items. So we propose a novel Sequence-based Recommendation model with Bidirectional Long Short-Term Memory neural network (BiLSTM4Rec) which can capture the sequential feature of items to predict what a user will choose next. By collecting consumed items of
Hailin Fu +4 more
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Modeling Genome Data Using Bidirectional LSTM
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019Bidirectional Long Short-Term Memory (LSTM) is a special kind of Recurrent Neural Network (RNN) architecture which is designed to model sequences and their long-range dependencies more precisely than RNNs. This paper proposes to use deep bidirectional LSTM for sequence modeling as an approach to perform locality-sensitive hashing (LSH)-based sequence ...
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Face alignment with Cascaded Bidirectional LSTM Neural Networks
2016 23rd International Conference on Pattern Recognition (ICPR), 2016Face alignment is an important issue in many computer vision problems. The key problem is to find the nonlinear mapping from face image or feature to landmark locations. In this paper, we propose a novel cascaded approach with bidirectional Long Short Term Memory (LSTM) neural networks to approximate this nonlinear mapping.
Yu Chen 0037 +3 more
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Implementation of Bidirectional LSTM Accelerator Based on FPGA
2022 IEEE 22nd International Conference on Communication Technology (ICCT), 2022Hao Wang, Danfeng Qiu, Fen Ge, Ying Yang
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