This paper presents a new version of Dropout called Split Dropout (sDropout) and rotational convolution techniques to improve CNNs’ performance on image classification. The widely used standard Dropout has advantage of preventing deep neural networks from overfitting by randomly dropping units during training. Our sDropout randomly splits the data into two subsets and keeps both rather than dis...

This paper presents a new descriptor based on Shape Contexts, Fourier transform and Eigenshapes for radiological medical image retrieval. First shape context histograms are computed. Then, 2D FFT are performed on each 2D histogram to achieve rotation invariance. Finally, histograms are projected onto a more representative and lower dimensionality feature space that highlights the most important...

In this paper, we propose a new type of local binary pattern (LBP)-based feature, called Rotation Invariant Co-occurrence among adjacent LBPs (RIC-LBP), which simultaneously has characteristics of rotation invariance and a high descriptive ability. LBP was originally designed as a texture description for a local region, called a micropattern, and has been extended to various types of LBP-based ...

TheO(3) nonlinear sigma model with its U(1) subgroup gauged, where the gauge field dynamics is solely governed by a Chern-Simons term, admits both topological as well as nontopological self-dual soliton solutions for a specific choice of the potential. It turns out that the topological solitons are infinitely degenerate in any given sector. ∗ E-mail: [email protected] ∗∗ E-mail: sanjay@iopb....

This paper presents a scale and rotation invariant face detection system. The system employs a hierarchical neural network, called SICoNNet, whose processing elements are governed by the nonlinear mechanism of shunting inhibition. The neural network is used as a face/nonface classifier that can handle in-plane rotated patterns. To train the network as a rotation invariant face classifier, an en...

Because general algorithms seldom detect copy-move forgery with angle rotation and block matching algorithms are very time-consuming, this paper proposes a detection algorithm which is able to detect copymove forgery with rotation of certain angles by using the direction invariance of the circular projection vector. At the same time, considering the influence of random noise and brightness chan...

In recent years, retrieving semantic information from digital cameras, for instance object recognition, has become one of the hottest topics of computer vision. Since the boundaries of this problem range from recognizing objects in a range image to estimating the pose of an object from an image sequence, a variety of studies exist in the literature. Before remembering the previous approaches on...

The role of Lorentz symmetry in ghost-free massive gravity is studied, emphasizing features emerging approximately Minkowski spacetime. static extrema and saddle points the potential are determined their properties identified. Solutions preserving invariance ones breaking four six generators constructed. Locally, globally, absolutely stable Lorentz-invariant found to exist for certain parameter...

This article reviews the author's investigations on the perception and control of spatial relations if the carriers of the relevant sense organs are mobile and controlled independently of each other. In the dragonfly, head rotation is controlled by the head's inertia, as well as by cervicocollic, optokinetic, and dorsal light reflexes and, in turn, controls trunk rotation by means of neck refle...