Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 11 - 20
of
3,825
Smooth Transitions for Mobile Imagery Browsing
"... Due to limitations of mobile environments, the handling of imagery is still problematic. This becomes especially apparent if two images are to be blended in order to create a smooth transition. As existing techniques fail to adapt to the restrictions of mobile environments, new ideas for the appropr ..."
Abstract
- Add to MetaCart
Due to limitations of mobile environments, the handling of imagery is still problematic. This becomes especially apparent if two images are to be blended in order to create a smooth transition. As existing techniques fail to adapt to the restrictions of mobile environments, new ideas
Photo tourism: Exploring photo collections in 3D
- IN PROC. ACM SIGGRAPH
, 2006
"... We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each photograph as well as a sparse 3D model of th ..."
Abstract
-
Cited by 677 (37 self)
- Add to MetaCart
of the scene and image to model correspondences. Our photo explorer uses image-based rendering techniques to smoothly transition between photographs, while also enabling full 3D navigation and exploration of the set of images and world geometry, along with auxiliary information such as overhead maps. Our
ON SMOOTH TRANSITION AUTOREGRESSIVE (STAR) MODELS AND THEIR APPLICATIONS: AN OVERVIEW
"... Abstract: One of the most important family of nonlinear time-series models, capable of exhibiting limit cycle behaviour, is Self-exciting threshold autoregressive (SETAR) models. However, one limitation of this family is that transitions between various regimes take place in a discontinuous and sudd ..."
Abstract
- Add to MetaCart
and sudden manner. For a more realistic modeling, these transitions should be smooth. Here, a flexible family of nonlinear time-series models, viz. Smooth transition autoregressive (STAR) family of nonlinear time-series models is thoroughly studied. Various models of this family, viz. Exponential
(revised) TREE-STRUCTURED SMOOTH TRANSITION REGRESSION MODELS BASED ON CART ALGORITHM
"... Three-structured smooth transition regression models based on CART algorithm ..."
Abstract
- Add to MetaCart
Three-structured smooth transition regression models based on CART algorithm
Sewing Photos: Smooth Transition Between Photos
"... Abstract. Inthispaper,anewsmoothslideshowtransitioneffect,Sewing Photos, is proposed while considering both of smooth content transition and smooth camera motion. Comparing to the traditional photo browsing and displaying work, which all focused on presenting splendid visual effects, Sewing Photos e ..."
Abstract
- Add to MetaCart
Abstract. Inthispaper,anewsmoothslideshowtransitioneffect,Sewing Photos, is proposed while considering both of smooth content transition and smooth camera motion. Comparing to the traditional photo browsing and displaying work, which all focused on presenting splendid visual effects, Sewing Photos
with the Double Smooth Transition Conditional Correlation GARCH Model
, 2007
"... In this paper we propose a multivariate GARCH model with a time-varying conditional correlation structure. The new Double Smooth Transition Conditional Correlation GARCH model extends the Smooth Transition Conditional Correlation GARCH model of Silven-noinen and Teräsvirta (2005) by including anoth ..."
Abstract
- Add to MetaCart
In this paper we propose a multivariate GARCH model with a time-varying conditional correlation structure. The new Double Smooth Transition Conditional Correlation GARCH model extends the Smooth Transition Conditional Correlation GARCH model of Silven-noinen and Teräsvirta (2005) by including
The Bi-parameter Smooth Transition Autoregressive model
- Economics Bulletin
"... The present paper introduces the Bi−parameter Smooth Transition Autoregressive (BSTAR) model that generalizes the LSTR2 model, see Terasvirta (1998). In contrast to the LSTR2 model, which features the symmetric transition function, the BSTAR model is characterized by the asymmetric transition functi ..."
Abstract
-
Cited by 3 (0 self)
- Add to MetaCart
The present paper introduces the Bi−parameter Smooth Transition Autoregressive (BSTAR) model that generalizes the LSTR2 model, see Terasvirta (1998). In contrast to the LSTR2 model, which features the symmetric transition function, the BSTAR model is characterized by the asymmetric transition
A reversible jump mcmc algorithm for bayesian curve fitting using smooth transition regression models
- in Proceedings of ICASSP
, 2011
"... by using smooth transition regression models ..."
Dynamic Bayesian Smooth Transition Autoregressive (DBSTAR) model
"... The main goal of this work is to introduce a Bayesian formulation of a special class of nonlinear time series models known as the Smooth Transition Autoregressive (STAR) model. This proposal consists of writing the STAR model in a Dynamic Linear Model (DLM) form, called Dynamic Bayesian Smooth Trans ..."
Abstract
- Add to MetaCart
The main goal of this work is to introduce a Bayesian formulation of a special class of nonlinear time series models known as the Smooth Transition Autoregressive (STAR) model. This proposal consists of writing the STAR model in a Dynamic Linear Model (DLM) form, called Dynamic Bayesian Smooth
Approximations by Smooth Transitions in Binary Space Partitions
"... This work proposes a simple approximation scheme for discrete data that leads to an infinitely smooth result with-out global optimization. It combines the flexibility of Bi-nary Space Partitions Trees with the statistical robustness of Smooth Transition Regression Trees. The construction of the tree ..."
Abstract
- Add to MetaCart
This work proposes a simple approximation scheme for discrete data that leads to an infinitely smooth result with-out global optimization. It combines the flexibility of Bi-nary Space Partitions Trees with the statistical robustness of Smooth Transition Regression Trees. The construction
Results 11 - 20
of
3,825
