搜索结果: 1-15 共查到“计算机科学技术 supervised”相关记录15条 . 查询时间(0.061 秒)
Learning Representations for Weakly Supervised Natural Language Processing Tasks
Natural Language word
2015/9/14
Finding the right representations for words is critical for building accurate NLP systems when
domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
A Supervised Learning Approach to Acronym Identification
acronym identification supervised learning
2015/8/3
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular expressions. In this...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
Generalized Expectation Criteria for Lightly Supervised Learning
generalized expectation lightly supervised
2014/12/18
Machine learning has facilitated many recent advances in natural language processing and information extraction. Unfortunately, most machine learning methods rely on costly labeled data, which impedes...
Weakly Supervised Learning for Unconstrained Face Processing
deep learning face alignment face recognition machine learning unsupervised alignment unsupervised learning
2014/12/18
Machine face recognition has traditionally been studied under the assumption of a carefully controlled image acquisition process. By controlling image acquisition, variation due to factors such as pos...
Automating Crowd-supervised Learning for Spoken Language Systems
Automating Crowd-supervised Learning Spoken Language Systems
2014/11/27
Spoken language systems often rely on static speech recognizers. When the underlying models are improved on-the-fly,training is usually performed using unsupervised methods. In this work, we explore a...
Supervised Blockmodelling
Collective Classication Supervised Learning,Blockmod-elling Node Classication Statistical Network Analysis
2012/11/26
Collective classification models attempt to improve classification performance by taking into account the class labels of related instances. However, they tend not to learn patterns of interactions be...
Treat samples differently: Object tracking with semi-supervised online CovBoost
Object tracking semi-supervised CovBoost
2013/7/24
Most feature selection methods for object tracking assume that the labeled samples obtained in the next framesfollow the similar distribution with the samples in the previous frame. However, this assu...
Hiding Sensitive XML Association Rules With Supervised Learning Technique
XML Document Association Rules Bayesian Network PPDM Model NP-Hard K2 Algorithm
2013/1/28
In the privacy preservation of association rules, sensitivity analysis should be reported after the quantification of items in terms of their occurrence. The traditional methodologies, used for preser...
Supervised Fuzzy Mixture of Local Feature Models
Adaptive Fuzzy Mixture Supervised Clustering Local Feature Model PCA ICA Phase Transition Fuzzy Parametric Clustering Real-Coded Genetic Algorithm
2013/1/28
This paper addresses an important issue in model combination, that is, model locality. Since usually a global linear model is unable to reflect nonlinearity and to characterize local features, especia...
Weakly-Supervised Violence Detection in Movies with Audio and Video Based Co-training
Violence Weakly-supervised pLSA Audio Video Co-training
2013/7/16
In this work, we present a novel method to detect violent shots in movies. The detection process is split into two views–––the audio and video views. From the audio-view, a weakly-supervised method is...
Semi-Supervised Discriminant Analysis via Spectral Transduction
Semi-Supervised Discriminant Analysis via Spectral Transduction
2013/7/16
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classification. In real-world applications when there is no sufficient labeled data, LDA suffers fro...
清华大学模式识别基础课件 Summary on Supervised Pattern Recognition Methods
模式识别基础 课件 Supervised Pattern Recognition Methods
2009/5/4
清华大学模式识别基础课件 Summary on Supervised Pattern Recognition Methods。
Vision-Based Semi-Supervised Homecare with Spatial Constraint
Intelligent homecare semi-supervised learning tracking action detection surveillance
2013/7/17
Vision-based homecare system receives increasing research interest owing to its efficiency, portability and low-cost characters. This paper presents a vision-based semi-supervised homecare system to a...
A Supervised Text-Independent Speaker Recognition Approach
Text-independent speaker recognition mel cepstral analysis speech feature vector
2010/2/2
We provide a supervised speech-independent voice
recognition technique in this paper. In the feature extraction stage
we propose a mel-cepstral based approach. Our feature vector
classification met...