图 书 馆开课单位--法国国家信息与自动化研究所
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11The optimistic principle for online planning in Markov decision processes[马尔可夫决策过程的在线规划乐观原则]
Rémi Munos(法国国家信息与自动化研究所) Given an initial state, what is the best possible action that can be returned by a planning algorithm that is given a finite numerical budget (e.g. nu...
热度：82
Rémi Munos(法国国家信息与自动化研究所) Given an initial state, what is the best possible action that can be returned by a planning algorithm that is given a finite numerical budget (e.g. nu...
热度：82
12
Hybrid Multi-view Reconstruction by Jump-Diffusion[在跳扩散混合的多视图重建]
Florent Lafarge(法国国家信息与自动化研究所) We propose a multi-view stereo reconstruction algorithm which recovers urban scenes as a combination of meshes and geometric primitives. It provides a...
热度：43
Florent Lafarge(法国国家信息与自动化研究所) We propose a multi-view stereo reconstruction algorithm which recovers urban scenes as a combination of meshes and geometric primitives. It provides a...
热度：43
13Multi-View Geometry of the Refractive Plane[几何多视图的折射面]
Visesh Chari(法国国家信息与自动化研究所) Multi-View Geometry of the Refractive Plane
热度：71
Visesh Chari(法国国家信息与自动化研究所) Multi-View Geometry of the Refractive Plane
热度：71
14Comparing ontology distances: preliminary results[比较本体距离：初步结果]
Jérôme David(法国国家信息与自动化研究所) There are many reasons for measuring a distance between ontologies. In particular, it is useful to know quickly if two ontologies are close or remote ...
热度：54
Jérôme David(法国国家信息与自动化研究所) There are many reasons for measuring a distance between ontologies. In particular, it is useful to know quickly if two ontologies are close or remote ...
热度：54
15Watermarking for ontologies[水印的本体]
Fabian M. Suchanek(法国国家信息与自动化研究所) In this paper, we study watermarking methods to prove the ownership of an ontology. Di fferent from existing approaches, we propose to watermark not b...
热度：44
Fabian M. Suchanek(法国国家信息与自动化研究所) In this paper, we study watermarking methods to prove the ownership of an ontology. Di fferent from existing approaches, we propose to watermark not b...
热度：44
16Psychology lab classes using PsychPy
Kevin Fauvel(法国国家信息与自动化研究所) This presentation has been developed to introduce veterinary students to the process of carrying out a systematic physical examination in canine patie...
热度：59
Kevin Fauvel(法国国家信息与自动化研究所) This presentation has been developed to introduce veterinary students to the process of carrying out a systematic physical examination in canine patie...
热度：59
17Clustering Rankings in the Fourier Domain[傅立叶域中的聚类排名分析]
Romaric Gaudel(法国国家信息与自动化研究所) It is the purpose of this paper to introduce a novel approach to clustering rank data on a set of possibly large cardinality n ∈ ℕ...
热度：89
Romaric Gaudel(法国国家信息与自动化研究所) It is the purpose of this paper to introduce a novel approach to clustering rank data on a set of possibly large cardinality n ∈ ℕ...
热度：89
18Structured sparsity-inducing norms through submodular functions[通过模块功能结构稀疏诱导规范]
Francis R. Bach(法国国家信息与自动化研究所) Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their ...
热度：168
Francis R. Bach(法国国家信息与自动化研究所) Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their ...
热度：168
19Geometric Inference for Probability Distribution[概率分布的几何推理]
Frederic Chazal(法国国家信息与自动化研究所) Data often comes in the form of a point cloud sampled from an unknown compact subset of Euclidean space. The general goal of geometric inference is th...
热度：39
Frederic Chazal(法国国家信息与自动化研究所) Data often comes in the form of a point cloud sampled from an unknown compact subset of Euclidean space. The general goal of geometric inference is th...
热度：39
20Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding[基于非负相邻嵌入的低复杂度单图像超分辨率]
Marco Bevilacqua(法国国家信息与自动化研究所) This paper describes a single-image super-resolution (SR) algorithm based on nonnegative neighbor embedding. It belongs to the family of single-image ...
热度：65
Marco Bevilacqua(法国国家信息与自动化研究所) This paper describes a single-image super-resolution (SR) algorithm based on nonnegative neighbor embedding. It belongs to the family of single-image ...
热度：65