图 书 馆开课单位--加州大学
21
22
23
24
25
26
27
28
29
30
21Microsoft COCO: Common Objects in Context[microsoftcoco：上下文中的公共对象]
Tsung-Yi Lin(加州大学) We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the co...
热度：39
Tsung-Yi Lin(加州大学) We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the co...
热度：39
22Kako se umetna inteligenca uči jezika?[人工智能如何学习语言？]
Gašper Beguš(加州大学) Kako se umetna inteligenca uči jezika?
热度：31
Gašper Beguš(加州大学) Kako se umetna inteligenca uči jezika?
热度：31
23On the design of robust classifiers for computer vision[计算机视觉鲁棒分类器的设计]
Hamed Masnadi-Shirazi(加州大学) The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued th...
热度：45
Hamed Masnadi-Shirazi(加州大学) The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued th...
热度：45
24Unsupervised Network Discovery for Brain Imaging Data[脑成像数据的无监督网络发现]
Zilong Bai(加州大学) A common problem with spatiotemporal data is how to simplify the data to discover an underlying network that consists of cohesive spatial regions (nod...
热度：39
Zilong Bai(加州大学) A common problem with spatiotemporal data is how to simplify the data to discover an underlying network that consists of cohesive spatial regions (nod...
热度：39
25On the Computational and Statistical Interface and "BIG DATA"[论计算统计接口与“大数据”]
Michael I. Jordan(加州大学) The rapid growth in the size and scope of datasets in science and technology has created a need for novel foundational perspectives on data analysis t...
热度：43
Michael I. Jordan(加州大学) The rapid growth in the size and scope of datasets in science and technology has created a need for novel foundational perspectives on data analysis t...
热度：43
26Game Theory & Clustering[博弈论与聚类]
Marcello Pelillo(加州大学 ) The course will provide an overview of recent work on pairwise data clustering which has lead to establish intriguing connections between unsupervised...
热度：55
Marcello Pelillo(加州大学 ) The course will provide an overview of recent work on pairwise data clustering which has lead to establish intriguing connections between unsupervised...
热度：55
27Black Holes in the Cosmos, the Lab, and in Fundamental Physics[宇宙中的黑洞，实验室和基础物理学]
Steve Giddings(加州大学) Black holes present the extreme limits of physics. They are ubiquitous in the cosmos, and in some extra-dimensional scenarios they could be produced a...
热度：41
Steve Giddings(加州大学) Black holes present the extreme limits of physics. They are ubiquitous in the cosmos, and in some extra-dimensional scenarios they could be produced a...
热度：41
28Flexible Constrained Spectral Clustering[柔性约束谱聚类]
Xiang Wang(加州大学) Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints...
热度：75
Xiang Wang(加州大学) Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints...
热度：75
29Toward a Fair Review-Management System[走向公平的审查管理体系]
Theodoros Lappas(加州大学) Item reviews are a valuable source of information for potential buyers, who are looking for information on a product’s attributes before making ...
热度：33
Theodoros Lappas(加州大学) Item reviews are a valuable source of information for potential buyers, who are looking for information on a product’s attributes before making ...
热度：33
30Generative Models for Ticket Resolution in Expert Networks[专家网络中票证解决的生成模型]
Gengxin Miao(加州大学) Ticket resolution is a critical, yet challenging, aspect of the delivery of IT services. A large service provider needs to handle, on a daily basis, t...
热度：24
Gengxin Miao(加州大学) Ticket resolution is a critical, yet challenging, aspect of the delivery of IT services. A large service provider needs to handle, on a daily basis, t...
热度：24