This research reviews and tests two contradicting notions in cost stickiness literature by empirical recognition of the consequences of cost stickiness. Cost stickiness is consistent with both rational resource planning and opportunistic incentives of manager to increase personal benefits arising from status and power. Although both mechanisms involve asymmetric retention of slack, some of the ...

For multi-view convolutional neural network based 3D object recognition, how to fuse the information of multiple views is a key factor affecting recognition performance. Most traditional methods use max-pooling algorithm obtain final feature, which does not take into account correlative between different views. To make full effective views, this paper introduces hierarchical graph attention for...

In this paper, we present a view-based 3D model retrieval algorithm using probabilistic graph model. In this work, five circle camera arrays are employed, and five groups of views are captured from each 3D model. Each captured view set is modeled as a first order Markov Chain. The task of 3D model retrieval is defined as a probabilistic analysis procedure, and the comparison between the query a...

In three-dimensional television (3DTV), an interactive free viewpoint selection application has received more attention so far. This paper presents a novel method that synthesizes a free-viewpoint based on multiple textures and depth maps in multi-view camera configuration. This method solves the cracks and holes problem due to sampling rate by performing an inverse warping to retrieve texture ...

This paper proposes a fast 3D reconstruction approach for efficiently generating watertight 3D models from multiple short baseline views. Our method is based on the combination of a GPU-based plane-sweep approach, to compute individual dense depth maps and a subsequent robust volumetric depth map integration technique. Basically, the dense depth map values are transformed to a volumetric grid, ...

This paper assumes the cell formation problem as a distributed decision network. It proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. Based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...

This paper presents a graph-based learning approach to pairwise constraint propagation on multi-view data. Although pairwise constraint propagation has been studied extensively, pairwise constraints are usually defined over pairs of data points from a single view, i.e., only intra-view constraint propagation is considered for multi-view tasks. In fact, very little attention has been paid to int...