开课单位--IDIAP研究所
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A Distance Model for Rhythms[节奏的距离模型]
Jean-François Paiment(IDIAP研究所) Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs whe...
热度:38
Jean-François Paiment(IDIAP研究所) Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs whe...
热度:38

IM2 (Swiss Initiative)[IM2(瑞士倡议)]
Herve Bourlard(IDIAP研究所) author: Herve Bourlard, IDIAP Research Institute published: Nov. 21, 2007, recorded: October 2007, views: 79
热度:54
Herve Bourlard(IDIAP研究所) author: Herve Bourlard, IDIAP Research Institute published: Nov. 21, 2007, recorded: October 2007, views: 79
热度:54

Classifying Visual Scenes with Affine Invariant Regions and Text Retrieval Methods[用仿射不变区域和文本检索方法对视觉场景进行分类]
Daniel Gatica-Perez(Idiap研究所)
热度:40
Daniel Gatica-Perez(Idiap研究所)
热度:40

Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures using Discrete IOHMM[使用离散式 IOHMM 识别独立单声道和 3D 手势]
Agnes Just(IDIAP研究所) In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures ...
热度:50
Agnes Just(IDIAP研究所) In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures ...
热度:50

Juicer: A Weighted Finite-State Transducer speech decoder[Juicer:一个加权有限状态的传感器语音解码器]
John Dines(IDIAP研究所)
热度:39
John Dines(IDIAP研究所)
热度:39

Exact Acceleration of Linear Object Detectors[线性目标探测器的精确加速度]
Stefan Carlsson;Antonio Torralba;Charles Dubout(IDIAP研究所) We describe a general and exact method to considerably speed up linear object detection systems operating in a sliding, multi-scale window fashion, su...
热度:101
Stefan Carlsson;Antonio Torralba;Charles Dubout(IDIAP研究所) We describe a general and exact method to considerably speed up linear object detection systems operating in a sliding, multi-scale window fashion, su...
热度:101

Learning from Candidate Labeling Sets[从候选标签集学习]
Jie Luo(IDIAP研究所) In many real world applications we do not have access to fully-labeled training data, but only to a list of possible labels. This is the case, e.g., w...
热度:43
Jie Luo(IDIAP研究所) In many real world applications we do not have access to fully-labeled training data, but only to a list of possible labels. This is the case, e.g., w...
热度:43

On the Adequacy of Baseform Pronunciations and Pronunciation Variants[论基线发音和发音变体的充分性]
Mathew Magimai Doss(IDIAP研究所) This paper presents an approach to automatically extract and evaluate the ``stability'' of pronunciation variants (i.e., adequacy of the model to acco...
热度:81
Mathew Magimai Doss(IDIAP研究所) This paper presents an approach to automatically extract and evaluate the ``stability'' of pronunciation variants (i.e., adequacy of the model to acco...
热度:81

Detection and Resolution of References to Meeting Documents[检测和解决会议文件的参考文献]
Andrei Belis Popescu(IDIAP研究所) This article proposes a method for document/speech align- ment based on explicit references made in speech to documents and parts of documents, in the...
热度:56
Andrei Belis Popescu(IDIAP研究所) This article proposes a method for document/speech align- ment based on explicit references made in speech to documents and parts of documents, in the...
热度:56

A Generative Model for Rhythms[节奏的生成模型]
Jean-François Paiement(IDIAP研究所) Modeling music involves capturing long-term dependencies in time series, which has proved very difficult to achieve with traditional statistical metho...
热度:84
Jean-François Paiement(IDIAP研究所) Modeling music involves capturing long-term dependencies in time series, which has proved very difficult to achieve with traditional statistical metho...
热度:84