Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part I

... plus circle represents the feature addition of residual connection.) (Color figure online) with precise location by ... (xinput ),φw (xinput )] xoutput = xinput × θ(Conv(x h )) × θ(Conv(x w )) (5) where φ h and φ w respectively represent ...

... Octave Convolution pre-trained on ImageNet [4] as our backbone. The networks are optimized with stochastic gradient descent (SGD). We set α in Octave Convolution to 0.5, the kernel number n and the minimal kernel scale m are set to 7 ...

... Ángel 335 Amoroso Fernández, Yarina 177 Arcos Hurtado, Edgar Francisco 375 Arvidsson, Moa 362 Avila, Deivis B 167 Barajas-Montiel, Sandra Eugenia 60 Barrera Travieso, Reinaldo 412 Estevez-Rams, E. 108 Estévez-Rams, Ernesto 119 F Febles ...

... Mcb by solving a permutation matrix P , which allows to find a maximum weight matching by permuting the rows of Ucb Є Rnc × пь , Ucb = K ( Xq , Xr ) , Xq E Xc , and x , Є Xb ( q = 1 , ... , ne ; r = 1 , ... , n ) . Nonetheless , LJM is ...

... (5) We denote the candidate minima of the cost function of polyline BN as )(~nBC. Applying Equation (5), the ... arrows in Fig. 5(a), point to the pixel in the previous column with the minimum accumulated cost, which then allows the ...

... video summary with more keyframes in which the quality of the summary is the same. 5 Conclusion and Further Works In this work, we propose a divisive and hierarchical method to compute a static video summary without considering ...

... Hospital Vall d'Hebron, Barcelona 08035, Spain fernando@cvc.uab.es http ... Maps in a general semi-supervised framework with the aim of tackling the ... medical image modality, the intestinal con- traction sequences constitute the target ...

... cost of the two arrows that go irst bin to the last bin is one. This is because wi-1 (the first bin in the ... 5 shows five different transformations of signature S(A|} to signature their related costs. In the first transformation, one ...

... KCaM KCaM [6] is a pairwise glycan alignment algorithm that combines the maximum common subtree and Smith-Waterman local protein sequence alignment algorithms. This algorithm has been preceded by a number of. Fig. 1. Example of the N ...

... ( DVL ) ( 10 ) where L ( 0 ) is set as the input image . Figure 1 demonstrates that the vessel enhancing diffusion filter can be applied to enhance the vessel structures and smooth out noise in the image . The algorithm for the vessel ...

... c ;...;XcC], where Xc c is the coding coefficient of Ac over the sub-dictionary Dc. First of all, the dictionary D should be able to well represent Ac, and there is Ac ≈ DXc = D1Xc 1 + ··· + DcXcc + ···+ DCXcC. Second, since Dc is ...

... 3D central differ- ence separable residual long and short - term memory ( LSTM ) coordinate attention ( 3D CRLCA ) , which addresses these issues . Our network uti- lizes 3D central difference separable convolution ( 3D CDSC ) to ...

... ezviz fisheye camera to record content from Problem-Based Learning classes and meetings [1] at a medical college in China. A total of 3,573 frames and 31,915 samples were selected from a large number of videos to form the dataset. Eight ...

... TF2 TF3 RF1 RF2 RF3 Mutil - Scale Fusion FCM Preliminary result RRF1 RRF2 ... TF2 , TF3 ) and completed 3D RGB features ( RRF1 ) with the proposed 3D RGB ... Hsu et al . [ 11 ] motivate using pairwise constraints to learn clustering ...

... This phenomenon stems from the fact that the primary functions of the SVE and PVE modules are geared towards ... information transfer process of the optical. 4 Conclusion The scarcity of training samples , the influence of irrelevant ...

... org/10.1007/s10472-007-9065-2 2. Almuallim, H., Dietterich, T.G.: Learning Boolean concepts in the presence of many irrelevant features. Artif. Intell. 69(1–2), 279–305 (1994) 3. Alzahrani, A.O., Alenazi, M.J.F.: Designing a network ...

... Edward T. Hall [ 4 ] . Proxemics is a subcategory of nonverbal communication that studies how people use personal space and the distance they keep between them when ... Proxemics-Net: Automatic Proxemics Recognition in Images 1 Introduction.

... SANet [22] MSNNet [25] BiDFNet (ours) Unet [16] Unet++ [26] MSEG [7] 0.913 0.954 0.019 0.891 0.931 0.022 0.961 0.969 0.007 0.009 0.959 0.979 0.947 0.959 0.011 PraNet [4] ACSNet [23] EU-Net [15] SANet [22] MSNNet [25] BiDFNet (ours) Unet ...

... variational auto-encoder with a conditional generative adversarial network ... training. Experimental results demonstrate that our approach not only produces ... Tutorial on variational autoencoders. arXiv preprint arXiv:1606.05908 (2016) ...

... Tutorial on variational autoencoders . arXiv : 1606.05908 ( 2016 ) 5. Girshick , R .: Fast R - CNN . In : ICCV ( 2015 ) 6. Gong , D. , et al .: Memorizing normality to detect anomaly : memory - augmented deep autoencoder for ...

... 2, Jun Guo1, and Yaning Chang1 3 1 Beijing University of Posts and Telecommunications, Beijing 100876, 2 People's Republic of China {wanghaoyumartin,changdongliang,xiaobo,mazhanyu, guojun,cyaning}@bupt.edu.cn Beijing Academy of Artificial ...

... Tongyici Cilin (Extended) [3] is taken as the semantic resources in this paper. In this paper, we use the fifth level synonym information of the dictionary, where the meanings of words are depicted most meticulously, to expand the ...

... paper, we propose an automated segmentation and tracking system for the ... Cell tracking, Triangle Neighborhood Structure. 1 Introduction Plant cell research ... stem-cell niche, is the most important part of the plant body plan because it ...

... manual annotations by the radiologist. The summary of this data is shown in Table 2 and Fig. 3. Table 2. Summary of data Source Objects Volume size Resolution (mm) Framerate(Hz) Scanner EMC 6 192 Â 246 Â 117 1.14 Â 0.59 Â 1.19 6 Philips ...