Online multimodal dictionary learning
نویسندگان
چکیده
منابع مشابه
Robust Multimodal Dictionary Learning
We propose a robust multimodal dictionary learning method for multimodal images. Joint dictionary learning for both modalities may be impaired by lack of correspondence between image modalities in training data, for example due to areas of low quality in one of the modalities. Dictionaries learned with such non-corresponding data will induce uncertainty about image representation. In this paper...
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Lemma 1. If ρ = 0, then Mt = M0 +M′t (∀t ≥ 1). When ρ > 0, then Mt = M ′ t (∀t ≥ 1). Proof. 1. Case ρ = 0: Since γt = 1 (∀t ≥ 1), thus Mt = M0 + ∑t i=1 Ni. We also have that ( i t 0 = 1 (∀i ≥ 1), and therefore M′t = ∑t i=1 Ni, which completes the proof. 2. Case ρ > 0: The proof proceeds by induction. • t = 1: In this case γ1 = 0, M1 = 0 × M0 + N1 = N1 and M′1 = N1, which proves that M1 = M ′ 1....
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2019
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2019.08.053