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Convergence rates
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41by Siddique, Nahian A“... function to generate the gram matrix and optimizing the NN structure. First, the training dataset...”
Published 2016
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42“...Orthogonal projection along a geodesic to the chosen k-plane is introduced using edge and Gram...”
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43“... to <i>N<sup>2</sup></i> for Gram Matrix. We also show that the task based feature induction yields...”
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44by Champion, Daniel James“... on their codimension-two faces. These characterizations analyze the Gram matrix, a matrix with entries given by cosines...”
Published 2011
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45“... in the non-stationary spatial resolution and data-adaptive resolvable scales. Because the Gram matrix...”
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46by Fonseca, Rondinelli Rocha da“... topics and determinants matrix and its application in high school. In particular, the Gram matrix in a...”
Published 2013
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47“... show that a dual basis can be calculated by elements of an inverse of the Gram Matrix. We also...”
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48“... to make visual reasoning more efficient. The idea of the Gram matrix used in the neural style transfer...”
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49“..., particularly due to the eigendecomposition of the Gram matrix. In this context, ensemble regression techniques...”
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50by Agnaldo José Ferrari, Antonio Aparecido De Andrade, Robson Ricardo De Araujo, José Carmelo Interlando“... a closed formula for the Gram matrix of algebraic lattices obtained from these subfields...”
Published 2020-05-01
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51“... of the Gram matrix associated with the gain matrix of the MIMO channel, by considering small variance...”
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52“.... The coherence is constrained by making the Gram matrix of the desired dictionary approximate to an identity...”
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53“... (DDI) is used to measure the diagonal dominance of gram matrix for the initialisation of the ER...”
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54“... the performance of reconstructed medical images using various sensing matrices. It is observed that, since Gram...”
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55by Alluqmani, Eman Ahmed N.“... that the cell modules are cyclic. Moreover, we study the Gram matrix to determine when the cell module with n-1...”
Published 2018
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57“... statistics, such as Gram matrix, are used to describe textures. Although these models have achieved promising...”
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58“... the properties of the Gram matrix to decode the subtracted image for further processing. Finally, we detect...”
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59Robust Kernel Principal Component Analysis With ℓ<sub>2,1</sub>-Regularized Loss Minimization“... the nonlinear data structure. KPCA is derived from the Gram matrix, which is not robust when outliers exist...”
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60“... as the conventional ones. First, a technique is proposed to approximate the Gram matrix to a constant valued diagonal...”
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