The standard support vector machine (SVM) is celebrated for its theoretically guaranteed generalization performance. However, it lacks sparsity and thus cannot be used for feature selection. Zero norm SVM is ideal in the sense of sparsity while its optimization is prohibitive due to the combinatorial...
The standard support vector machine (SVM) is celebrated for its theoretically guaranteed generalization performance. However, it lacks sparsity and thus cannot be used for feature selection. Zero norm SVM is ideal in the sense of sparsity while its optimization is prohibitive due to the combinatorial...
with infinite norm measurement vector and matrix 翻译结果5复制译文编辑译文朗读译文返回顶部 Measures the vector and the matrix with the infinite norm 相关内容 a他们的境况比我们的好 Their condition compared to ours good[translate] a太阳之翼 Wing of the solar[translate] ...
2.A new algorithm for detecting dim moving target in IR image sequence by the infinite norm of discontinuous frame difference vector is proposed in this paper.提出了运用隔帧差分向量无穷范数检测红外图像序列中运动弱小目标一种新算法。 3.According to the sense of fuzzy satisfactory degree, the values...
∥x∥: the Euclidean norm of a vector x. LF2(R+,Rnv): the space of nonanticipative stochastic process x(t)∈Rnv with respect to an increasing σ-algebra Ft(t≥0) satisfying E∫0∞∥x(t)∥2dt<∞. RNm×n(SNn): the set of all N sequences A=(A(1),A(2),…,A(N)) with ...
A new algorithm for detecting dim moving target in IR image sequence by the infinite norm of discontinuous frame difference vector is proposed in this paper. 提出了运用隔帧差分向量无穷范数检测红外图像序列中运动弱小目标一种新算法。3. According to the sense of fuzzy satisfactory degree, the values...
The solvability for infinite-dimensional differential algebraic equations possessing a resolvent index and a Weierstraß form is studied. In particular, the concept of integrated semigroups is used to determine a subset on which solutions exist and are unique. This information is later used for a...
Zhu J, Rosset S, Hastie T, Tibshirani R (2003) 1-norm support vector machines. Adv Neural Inf Process Syst (NIPS 2003), Vancouver, British Columbia, Canda Google Scholar Blanco V, Puerto J, Rodríguez-Chía AM (2017) On LP-support vector machines and multidimensional kernels. arXiv:1711....
Such a Lie group G is locally diffeomorphic to an infinite-dimensional vector space. This can be a Banach space whose topology is given by a norm ∥·∥, a Hilbert space whose topology is given by an inner product 〈. , .〉, or a Frechet space whose topology is given by a metric bu...
We pose this problem as a regularized empirical risk minimization with p p p -norm push loss function ( p=\\infty p=\\infty ) and sparsity inducing regularizers. We leverage the issues related to this challenging optimization problem by considering an alternating direction method of multipliers ...