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ICASSP
2011
IEEE
14 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
DOOD
1995
Springer
124views Database» more  DOOD 1995»
15 years 10 months ago
Querying Semistructured Heterogeneous Information
Abstract. Semistructured data has no absolute schema xed in advance and its structure may be irregular or incomplete. Such data commonly arises in sources that do not impose a rigi...
Dallan Quass, Anand Rajaraman, Yehoshua Sagiv, Jef...
VMV
2001
132views Visualization» more  VMV 2001»
15 years 8 months ago
Optimal Memory Constrained Isosurface Extraction
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
Dietmar Saupe, Jürgen Toelke
ICPR
2006
IEEE
16 years 8 months ago
Euclidean Reconstruction of Deformable Structure Using a Perspective Camera with Varying Intrinsic Parameters
In this paper we present a novel approach for the 3D Euclidean reconstruction of deformable objects observed by a perspective camera with variable intrinsic parameters. We formula...
Alessio Del Bue, Lourdes de Agapito, Xavier Llad&o...
WWW
2004
ACM
16 years 7 months ago
Ontological representation of learning objects: building interoperable vocabulary and structures
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Jian Qin, Naybell Hernández