Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Visual Tactile Fusion Object Clustering   Object clustering, aiming at grouping similar objects into one cluster with
an unsupervised strategy, has been extensivelystudied among various data-driven
applications. However, most existing state-of-the-art object clustering methods
(e.g., single-view or multi-view clustering methods) only explore visual
information, while ignoring one of most important sensing modalities, i.e.,
tactile information which can help capture different object properties and
further boost the performance of object clustering task. To effectively benefit
both visual and tactile modalities for object clustering, in this paper, we
propose a deep Auto-Encoder-like Non-negative Matrix Factorization framework
for visual-tactile fusion clustering. Specifically, deep matrix factorization
constrained by an under-complete Auto-Encoder-like architecture is employed to
jointly learn hierarchical expression of visual-tactile fusion data, and
preserve the local structure of data generating distribution of visual and
tactile modalities. Meanwhile, a graph regularizer is introduced to capture the
intrinsic relations of data samples within each modality. Furthermore, we
propose a modality-level consensus regularizer to effectively align thevisual
and tactile data in a common subspace in which the gap between visual and
tactile data is mitigated. For the model optimization, we present an efficient
alternating minimization strategy to solve our proposed model. Finally, we
conduct extensive experiments on public datasets to verify the effectiveness of
our framework.

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The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph