12 papers · ranked by Valyu relevance
Jonathan Y. Huang, Rocky Y. Su, Wee Han Lim, MengKe Feng + 23 more
'Barnaby van Straaten' 'Brandon Severin' 'Will Gilbert' 'Nard Dumoulin Stuyck' 'Tuomo Tanttu' 'Santiago Serrano' 'Jesus D. Cifuentes' 'Ingvild Hansen' 'Amanda E. Seedhouse' 'Ensar Vahapoglu' 'Ross C. C. Leon' 'Nikolay V. Abrosimov' 'Hans-Joachim Pohl' 'Michael L. W. Thewalt' 'Fay E. Hudson' 'Christopher C. Escott'…
Xiaohao Wen, Mengchu Zhou, Aiiad Albeshri, Lukui Huang + 3 more
'Dan Ning' 'Marcin Woźniak'] A dendritic neuron model (DNM) is a deep neural network model with a unique dendritic tree structure and activation function. Effective initialization of its model parameters is crucial for its learning performance. This work proposes a novel initialization method specifically designed to…
Xiongfei Fan, Hong Zhang, Yu Zhang, Mingguo Zhao + 1 more
Spiking neural networks (SNNs) are widely recognized for their biomimetic and efficient computing features. They utilize spikes to encode and transmit information. Despite the many advantages of SNNs, they suffer from the problems of low accuracy and large inference latency, which are, respectively, caused by the…
Hexuan Dou, Bo Liu, Yinghao Jia, Changhong Wang + 1 more
Two-view epipolar initialization for feature-based monocular SLAM with the RANSAC approach is challenging in dynamic environments. This paper presents a universal and practical method for improving the automatic estimation of initial poses and landmarks across multiple frames in real time. Image features corresponding…
Verusca Severo, Felipe B. S. Ferreira, Rodrigo Spencer, Arthur Nascimento + 2 more
'Arthur Nascimento' 'Francisco Madeiro' 'Steve Vanlanduit'] Vector Quantization (VQ) is a technique with a wide range of applications. For example, it can be used for image compression. The codebook design for VQ has great significance in the quality of the quantized signals and can benefit from the use of swarm…
Min Zhong, Yiqing Yao, Xiaosu Xu, Hongyu Wei + 1 more
In order to improve the initialization robustness of visual inertial SLAM, the complementarity of the optical flow method and the feature-based method can be used in vision data processing. The parallel initialization method is proposed, where the optical flow inertial initialization and the monocular feature-based…
Jie You, Zhaoxuan Li, Junli Du, Praveen Kumar Donta
Gaussian mixture model (GMM) is a very useful tool, which is widely used in complex probability distribution modeling, such as data classification , image classification and segmentation , speech recognition , etc. The Gaussian mixture model is composed of K single Gaussian distributions. For a single Gaussian…
Waqas Haider Bangyal, Abdul Hameed, Wael Alosaimi, Hashem Alyami
Particle swarm optimization (PSO) algorithm is a population-based intelligent stochastic search technique used to search for food with the intrinsic manner of bee swarming. PSO is widely used to solve the diverse problems of optimization. Initialization of population is a critical factor in the PSO algorithm, which…
Richard N. M. Rudd-Orthner, Lyudmila Mihaylova, Abir Hussain, Dhiya Al-Jumeily + 2 more
'Dhiya Al-Jumeily' 'Hissam Tawfik' 'Panos Liatsis'] A repeatable and deterministic non-random weight initialization method in convolutional layers of neural networks examined with the Fast Gradient Sign Method (FSGM). Using the FSGM approach as a technique to measure the initialization effect with controlled…
Marzieh Dolatabadi, Jos Elfring, René van de Molengraft, Rezia Molfino
'Rezia Molfino'] The tracking of Vulnerable Road Users (VRU) is one of the vital tasks of autonomous cars. This includes estimating the positions and velocities of VRUs surrounding a car. To do this, VRU trackers must utilize measurements that are received from sensors. However, even the most accurate VRU trackers are…
Haoqiang Liu, Hongbo Zhao, Xiaowen Chen, Wenquan Feng + 1 more
Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive white Gaussian noise…
Jack Zito, Heraldo Memelli, Kyle G. Horn, Irene C. Solomon + 1 more
'Larry D. Wittie'] Large-scale models of neuronal structures are needed to explore emergent properties of mammalian brains. Because these models have trillions of synapses, a major problem in their creation is synapse placement. Here we present a novel method for exploiting consistent fiber orientation in a neural…